{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/domain-generalization/papers/14","list_of":"/task/domain-generalization","task":"Domain Generalization","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":14,"pages_in_order":18,"rows_per_page":100,"rows":[1301,1400],"of":1751,"counts":{"archive_papers_tagged":1751,"with_a_code_link":859,"where_syntology_ran_a_sample":271,"not_listed_spam_title":0,"listed":1751,"listed_where_code_ran":271,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":233,"every_run_a_failure_of_syntologys_instrument":38,"listed_with_a_run_with_no_instrument_failure":233,"listed_every_run_a_failure_of_syntologys_instrument":38,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/domain-generalization","prev":"/task/domain-generalization/papers/13","next":"/task/domain-generalization/papers/15","papers":[{"url":null,"slug":"cilf-causality-inspired-learning-framework","title":"CILF:Causality Inspired Learning Framework for Out-of-Distribution Vehicle Trajectory Prediction","date":"2023-07-11","arxiv_id":"2307.05624","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-variational-neighbor-labels-for-test","title":"Probabilistic Test-Time Generalization by Variational Neighbor-Labeling","date":"2023-07-08","arxiv_id":"2307.04033","repositories_listed":0,"syntology":null},{"url":"/paper/multi-similarity-contrastive-learning","slug":"multi-similarity-contrastive-learning","title":"Multi-Similarity Contrastive Learning","date":"2023-07-06","arxiv_id":"2307.02712","repositories_listed":0,"syntology":null},{"url":null,"slug":"prompting-diffusion-representations-for-cross","title":"Prompting Diffusion Representations for Cross-Domain Semantic Segmentation","date":"2023-07-05","arxiv_id":"2307.02138","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-noise-resistant-image-representation","title":"Learning Degradation-Independent Representations for Camera ISP Pipelines","date":"2023-07-03","arxiv_id":"2307.00761","repositories_listed":0,"syntology":null},{"url":null,"slug":"mla-bin-model-level-attention-and-batch","title":"MLA-BIN: Model-level Attention and Batch-instance Style Normalization for Domain Generalization of Federated Learning on Medical Image Segmentation","date":"2023-06-29","arxiv_id":"2306.17008","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-on-out-of-distribution-evaluation-of","title":"A Survey on Out-of-Distribution Evaluation of Neural NLP Models","date":"2023-06-27","arxiv_id":"2306.15261","repositories_listed":0,"syntology":null},{"url":null,"slug":"generalizable-metric-network-for-cross-domain","title":"Generalizable Metric Network for Cross-domain Person Re-identification","date":"2023-06-21","arxiv_id":"2306.11991","repositories_listed":0,"syntology":null},{"url":null,"slug":"shape-guided-gradient-voting-for-domain","title":"Shape Guided Gradient Voting for Domain Generalization","date":"2023-06-19","arxiv_id":"2306.10809","repositories_listed":0,"syntology":null},{"url":"/paper/retrieving-to-answer-zero-shot-video-question","slug":"retrieving-to-answer-zero-shot-video-question","title":"Retrieving-to-Answer: Zero-Shot Video Question Answering with Frozen Large Language Models","date":"2023-06-15","arxiv_id":"2306.11732","repositories_listed":0,"syntology":null},{"url":null,"slug":"stochastic-re-weighted-gradient-descent-via","title":"Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization","date":"2023-06-15","arxiv_id":"2306.09222","repositories_listed":0,"syntology":null},{"url":null,"slug":"is-normalization-indispensable-for-multi","title":"FedWon: Triumphing Multi-domain Federated Learning Without Normalization","date":"2023-06-09","arxiv_id":"2306.05879","repositories_listed":0,"syntology":null},{"url":null,"slug":"test-time-style-shifting-handling-arbitrary","title":"Test-Time Style Shifting: Handling Arbitrary Styles in Domain Generalization","date":"2023-06-08","arxiv_id":"2306.04911","repositories_listed":0,"syntology":null},{"url":null,"slug":"contrimix-unsupervised-disentanglement-of","title":"ContriMix: Scalable stain color augmentation for domain generalization without domain labels in digital pathology","date":"2023-06-07","arxiv_id":"2306.04527","repositories_listed":0,"syntology":null},{"url":null,"slug":"toward-more-accurate-and-generalizable","title":"Toward More Accurate and Generalizable Evaluation Metrics for Task-Oriented Dialogs","date":"2023-06-06","arxiv_id":"2306.03984","repositories_listed":0,"syntology":null},{"url":null,"slug":"explore-and-exploit-the-diverse-knowledge-in","title":"Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization","date":"2023-06-05","arxiv_id":"2306.02595","repositories_listed":0,"syntology":null},{"url":null,"slug":"retrieval-enhanced-visual-prompt-learning-for","title":"Retrieval-Enhanced Visual Prompt Learning for Few-shot Classification","date":"2023-06-04","arxiv_id":"2306.02243","repositories_listed":0,"syntology":null},{"url":null,"slug":"federated-domain-generalization-a-survey","title":"Federated Domain Generalization: A Survey","date":"2023-06-02","arxiv_id":"2306.01334","repositories_listed":0,"syntology":null},{"url":null,"slug":"is-generative-modeling-based-stylization","title":"Is Generative Modeling-based Stylization Necessary for Domain Adaptation in Regression Tasks?","date":"2023-06-02","arxiv_id":"2306.01706","repositories_listed":0,"syntology":null},{"url":null,"slug":"sasmu-boost-the-performance-of-generalized","title":"SASMU: boost the performance of generalized recognition model using synthetic face dataset","date":"2023-06-02","arxiv_id":"2306.01449","repositories_listed":0,"syntology":null},{"url":null,"slug":"domain-generalization-for-domain-linked","title":"Domain Generalization for Domain-Linked Classes","date":"2023-06-01","arxiv_id":"2306.00879","repositories_listed":0,"syntology":null},{"url":null,"slug":"cnn-feature-map-augmentation-for-single","title":"CNN Feature Map Augmentation for Single-Source Domain Generalization","date":"2023-05-26","arxiv_id":"2305.16746","repositories_listed":0,"syntology":null},{"url":null,"slug":"meta-adaptive-task-sampling-for-few-domain","title":"Meta Adaptive Task Sampling for Few-Domain Generalization","date":"2023-05-25","arxiv_id":"2305.15644","repositories_listed":0,"syntology":null},{"url":null,"slug":"quantitatively-measuring-and-contrastively","title":"Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization","date":"2023-05-25","arxiv_id":"2305.15889","repositories_listed":0,"syntology":null},{"url":null,"slug":"hard-hard-augmentations-for-robust","title":"HARD: Hard Augmentations for Robust Distillation","date":"2023-05-24","arxiv_id":"2305.14890","repositories_listed":0,"syntology":null},{"url":null,"slug":"adaptive-face-recognition-using-adversarial","title":"Adaptive Face Recognition Using Adversarial Information Network","date":"2023-05-23","arxiv_id":"2305.13605","repositories_listed":0,"syntology":null},{"url":null,"slug":"domain-expanded-aste-rethinking","title":"Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet Extraction","date":"2023-05-23","arxiv_id":"2305.14434","repositories_listed":0,"syntology":null},{"url":null,"slug":"single-domain-dynamic-generalization-for-iris","title":"Single Domain Dynamic Generalization for Iris Presentation Attack Detection","date":"2023-05-22","arxiv_id":"2305.12800","repositories_listed":0,"syntology":null},{"url":null,"slug":"domain-generalization-deep-graph","title":"Domain Generalization Deep Graph Transformation","date":"2023-05-19","arxiv_id":"2305.11389","repositories_listed":0,"syntology":null},{"url":null,"slug":"masked-audio-text-encoders-are-effective","title":"Masked Audio Text Encoders are Effective Multi-Modal Rescorers","date":"2023-05-11","arxiv_id":"2305.07677","repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluating-embedding-apis-for-information","title":"Evaluating Embedding APIs for Information Retrieval","date":"2023-05-10","arxiv_id":"2305.06300","repositories_listed":0,"syntology":null},{"url":null,"slug":"adaptive-domain-generalization-for-digital","title":"Adaptive Domain Generalization for Digital Pathology Images","date":"2023-05-09","arxiv_id":"2305.05100","repositories_listed":0,"syntology":null},{"url":null,"slug":"augmentation-based-domain-generalization-for","title":"Augmentation-based Domain Generalization for Semantic Segmentation","date":"2023-04-24","arxiv_id":"2304.12122","repositories_listed":0,"syntology":null},{"url":null,"slug":"rplkg-robust-prompt-learning-with-knowledge","title":"RPLKG: Robust Prompt Learning with Knowledge Graph","date":"2023-04-21","arxiv_id":"2304.10805","repositories_listed":0,"syntology":null},{"url":null,"slug":"domain-generalization-for-mammographic-image","title":"Domain Generalization for Mammographic Image Analysis with Contrastive Learning","date":"2023-04-20","arxiv_id":"2304.10226","repositories_listed":0,"syntology":null},{"url":null,"slug":"adaptive-stylization-modulation-for-domain","title":"Dual Stage Stylization Modulation for Domain Generalized Semantic Segmentation","date":"2023-04-18","arxiv_id":"2304.09347","repositories_listed":0,"syntology":null},{"url":null,"slug":"decoding-neural-activity-to-assess-individual","title":"Decoding Neural Activity to Assess Individual Latent State in Ecologically Valid Contexts","date":"2023-04-18","arxiv_id":"2304.09050","repositories_listed":0,"syntology":null},{"url":null,"slug":"chain-of-thought-prompt-tuning-in-vision","title":"Chain of Thought Prompt Tuning in Vision Language Models","date":"2023-04-16","arxiv_id":"2304.07919","repositories_listed":0,"syntology":null},{"url":null,"slug":"frequency-decomposition-to-tap-the-potential","title":"Frequency Decomposition to Tap the Potential of Single Domain for Generalization","date":"2023-04-14","arxiv_id":"2304.07261","repositories_listed":0,"syntology":null},{"url":null,"slug":"out-of-distribution-few-shot-learning-for","title":"Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning","date":"2023-04-13","arxiv_id":"2304.06309","repositories_listed":0,"syntology":null},{"url":"/paper/meta-causal-learning-for-single-domain","slug":"meta-causal-learning-for-single-domain","title":"Meta-causal Learning for Single Domain Generalization","date":"2023-04-07","arxiv_id":"2304.03709","repositories_listed":0,"syntology":null},{"url":null,"slug":"supervised-contrastive-learning-with-1","title":"Supervised Contrastive Learning with Heterogeneous Similarity for Distribution Shifts","date":"2023-04-07","arxiv_id":"2304.03440","repositories_listed":0,"syntology":null},{"url":null,"slug":"domain-generalization-with-adversarial-1","title":"Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation","date":"2023-04-05","arxiv_id":"2304.02720","repositories_listed":0,"syntology":null},{"url":null,"slug":"randomized-adversarial-style-perturbations","title":"Randomized Adversarial Style Perturbations for Domain Generalization","date":"2023-04-04","arxiv_id":"2304.01959","repositories_listed":0,"syntology":null},{"url":null,"slug":"cnns-with-multi-level-attention-for-domain","title":"CNNs with Multi-Level Attention for Domain Generalization","date":"2023-04-02","arxiv_id":"2304.00502","repositories_listed":0,"syntology":null},{"url":"/paper/progressive-random-convolutions-for-single","slug":"progressive-random-convolutions-for-single","title":"Progressive Random Convolutions for Single Domain Generalization","date":"2023-04-02","arxiv_id":"2304.00424","repositories_listed":0,"syntology":null},{"url":null,"slug":"complementary-domain-adaptation-and","title":"Complementary Domain Adaptation and Generalization for Unsupervised Continual Domain Shift Learning","date":"2023-03-28","arxiv_id":"2303.15833","repositories_listed":0,"syntology":null},{"url":null,"slug":"sdtracker-synthetic-data-based-multi-object","title":"SDTracker: Synthetic Data Based Multi-Object Tracking","date":"2023-03-26","arxiv_id":"2303.14653","repositories_listed":0,"syntology":null},{"url":null,"slug":"internal-structure-attention-network-for","title":"Internal Structure Attention Network for Fingerprint Presentation Attack Detection from Optical Coherence Tomography","date":"2023-03-20","arxiv_id":"2303.11034","repositories_listed":0,"syntology":null},{"url":"/paper/rehearsal-free-domain-continual-face-anti","slug":"rehearsal-free-domain-continual-face-anti","title":"Rehearsal-Free Domain Continual Face Anti-Spoofing: Generalize More and Forget Less","date":"2023-03-16","arxiv_id":"2303.09914","repositories_listed":0,"syntology":{"n":5,"n_ran":4,"n_constructed":4,"n_ran_checked":4,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":4,"n_pointer_only":5,"phrase":"4 ran (of which 4 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified; every one of the 4 samples that ran constructed an object rather than computing a result","sample_list":"/paper/rehearsal-free-domain-continual-face-anti#ran","syntology_url":"https://syntology.ai/paper/2303.09914","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2303.09914"}},"official":null}},{"url":null,"slug":"imbalanced-domain-generalization-for-robust","title":"Imbalanced Domain Generalization for Robust Single Cell Classification in Hematological Cytomorphology","date":"2023-03-14","arxiv_id":"2303.07771","repositories_listed":0,"syntology":null},{"url":null,"slug":"domain-generalization-in-machine-learning","title":"Domain Generalization in Machine Learning Models for Wireless Communications: Concepts, State-of-the-Art, and Open Issues","date":"2023-03-13","arxiv_id":"2303.08106","repositories_listed":0,"syntology":null},{"url":null,"slug":"modality-agnostic-debiasing-for-single-domain","title":"Modality-Agnostic Debiasing for Single Domain Generalization","date":"2023-03-13","arxiv_id":"2303.07123","repositories_listed":0,"syntology":null},{"url":null,"slug":"gradient-regulated-meta-prompt-learning-for","title":"Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language Models","date":"2023-03-12","arxiv_id":"2303.06571","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-domain-invariance-in-self","title":"Towards domain-invariant Self-Supervised Learning with Batch Styles Standardization","date":"2023-03-10","arxiv_id":"2303.06088","repositories_listed":0,"syntology":null},{"url":"/paper/can-a-frozen-pretrained-language-model-be","slug":"can-a-frozen-pretrained-language-model-be","title":"Can a Frozen Pretrained Language Model be used for Zero-shot Neural Retrieval on Entity-centric Questions?","date":"2023-03-09","arxiv_id":"2303.05153","repositories_listed":0,"syntology":null},{"url":null,"slug":"decompose-adjust-compose-effective","title":"Decompose, Adjust, Compose: Effective Normalization by Playing with Frequency for Domain Generalization","date":"2023-03-04","arxiv_id":"2303.02328","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-agnostic-meta-learning-for-multilingual","title":"Model-Agnostic Meta-Learning for Multilingual Hate Speech Detection","date":"2023-03-04","arxiv_id":"2303.02513","repositories_listed":0,"syntology":null},{"url":null,"slug":"bayeseg-bayesian-modeling-for-medical-image","title":"BayeSeg: Bayesian Modeling for Medical Image Segmentation with Interpretable Generalizability","date":"2023-03-03","arxiv_id":"2303.01710","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-domain-generalization-for-multi-view","title":"Towards Domain Generalization for Multi-view 3D Object Detection in Bird-Eye-View","date":"2023-03-03","arxiv_id":"2303.01686","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-hardness-of-robustness-transfer-a","title":"On the Hardness of Robustness Transfer: A Perspective from Rademacher Complexity over Symmetric Difference Hypothesis Space","date":"2023-02-23","arxiv_id":"2302.12351","repositories_listed":0,"syntology":null},{"url":null,"slug":"stylip-multi-scale-style-conditioned-prompt","title":"StyLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-based Domain Generalization","date":"2023-02-18","arxiv_id":"2302.09251","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-radar-emitter-recognition-in-changing","title":"Towards Radar Emitter Recognition in Changing Environments with Domain Generalization","date":"2023-02-18","arxiv_id":"2302.09359","repositories_listed":0,"syntology":null},{"url":null,"slug":"mcae-masked-contrastive-autoencoder-for-face","title":"EnfoMax: Domain Entropy and Mutual Information Maximization for Domain Generalized Face Anti-spoofing","date":"2023-02-17","arxiv_id":"2302.08674","repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-representation-learning-with-self","title":"Robust Representation Learning with Self-Distillation for Domain Generalization","date":"2023-02-14","arxiv_id":"2302.06874","repositories_listed":0,"syntology":null},{"url":null,"slug":"semantic-image-segmentation-two-decades-of","title":"Semantic Image Segmentation: Two Decades of Research","date":"2023-02-13","arxiv_id":"2302.06378","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-corpora-spoken-language-identification","title":"Cross-Corpora Spoken Language Identification with Domain Diversification and Generalization","date":"2023-02-10","arxiv_id":"2302.05110","repositories_listed":0,"syntology":null},{"url":null,"slug":"robustness-to-spurious-correlations-improves","title":"Robustness to Spurious Correlations Improves Semantic Out-of-Distribution Detection","date":"2023-02-08","arxiv_id":"2302.04132","repositories_listed":0,"syntology":null},{"url":null,"slug":"leveraging-domain-relations-for-domain","title":"Improving Domain Generalization with Domain Relations","date":"2023-02-06","arxiv_id":"2302.02609","repositories_listed":0,"syntology":null},{"url":null,"slug":"aggregation-of-disentanglement-reconsidering","title":"Aggregation of Disentanglement: Reconsidering Domain Variations in Domain Generalization","date":"2023-02-05","arxiv_id":"2302.02350","repositories_listed":0,"syntology":null},{"url":null,"slug":"gradient-estimation-for-unseen-domain-risk","title":"Gradient Estimation for Unseen Domain Risk Minimization with Pre-Trained Models","date":"2023-02-03","arxiv_id":"2302.01497","repositories_listed":0,"syntology":null},{"url":null,"slug":"domain-generalization-emerges-from-dreaming","title":"Domain Generalization Emerges from Dreaming","date":"2023-02-02","arxiv_id":"2302.00980","repositories_listed":0,"syntology":null},{"url":null,"slug":"adversarial-style-augmentation-for-domain","title":"Adversarial Style Augmentation for Domain Generalization","date":"2023-01-30","arxiv_id":"2301.12643","repositories_listed":0,"syntology":null},{"url":null,"slug":"causality-based-dual-contrastive-learning","title":"Causality-based Dual-Contrastive Learning Framework for Domain Generalization","date":"2023-01-22","arxiv_id":"2301.09120","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploiting-style-transfer-based-task","title":"Exploiting Style Transfer-based Task Augmentation for Cross-Domain Few-Shot Learning","date":"2023-01-19","arxiv_id":"2301.07927","repositories_listed":0,"syntology":null},{"url":null,"slug":"1st-place-solution-for-eccv-2022-ood-cv","title":"1st Place Solution for ECCV 2022 OOD-CV Challenge Object Detection Track","date":"2023-01-12","arxiv_id":"2301.04796","repositories_listed":0,"syntology":null},{"url":null,"slug":"1st-place-solution-for-eccv-2022-ood-cv-1","title":"1st Place Solution for ECCV 2022 OOD-CV Challenge Image Classification Track","date":"2023-01-12","arxiv_id":"2301.04795","repositories_listed":0,"syntology":null},{"url":null,"slug":"domain-generalization-via-ensemble-stacking","title":"Domain Generalization via Ensemble Stacking for Face Presentation Attack Detection","date":"2023-01-05","arxiv_id":"2301.02145","repositories_listed":0,"syntology":null},{"url":null,"slug":"fine-grained-hard-negative-mining","title":"Fine-Grained Hard Negative Mining: Generalizing Mitosis Detection with a Fifth of the MIDOG 2022 Dataset","date":"2023-01-03","arxiv_id":"2301.01079","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-unified-framework-for-robustness-on-diverse","title":"A Unified Framework for Robustness on Diverse Sampling Errors","date":"2023-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"bi-level-meta-learning-for-few-shot-domain","title":"Bi-Level Meta-Learning for Few-Shot Domain Generalization","date":"2023-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":"/paper/center-aware-adversarial-augmentation-for","slug":"center-aware-adversarial-augmentation-for","title":"Center-aware Adversarial Augmentation for Single Domain Generalization","date":"2023-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"crossing-the-gap-domain-generalization-for","title":"Crossing the Gap: Domain Generalization for Image Captioning","date":"2023-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"dandelionnet-domain-composition-with-instance","title":"DandelionNet: Domain Composition with Instance Adaptive Classification for Domain Generalization","date":"2023-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"domain-generalized-stereo-matching-via","title":"Domain Generalized Stereo Matching via Hierarchical Visual Transformation","date":"2023-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-and-utilizing-pattern-imbalance","title":"Exploring and Utilizing Pattern Imbalance","date":"2023-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"prod-prompting-to-disentangle-domain","title":"ProD: Prompting-To-Disentangle Domain Knowledge for Cross-Domain Few-Shot Image Classification","date":"2023-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"promoting-semantic-connectivity-dual-nearest","title":"Promoting Semantic Connectivity: Dual Nearest Neighbors Contrastive Learning for Unsupervised Domain Generalization","date":"2023-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"task-aware-adaptive-learning-for-cross-domain","title":"Task-aware Adaptive Learning for Cross-domain Few-shot Learning","date":"2023-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-unsupervised-domain-generalization","title":"Towards Unsupervised Domain Generalization for Face Anti-Spoofing","date":"2023-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"nerf-gaze-a-head-eye-redirection-parametric","title":"NeRF-Gaze: A Head-Eye Redirection Parametric Model for Gaze Estimation","date":"2022-12-30","arxiv_id":"2212.14710","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-class-wise-non-salient-region-generalized","title":"A Class-wise Non-salient Region Generalized Framework for Video Semantic Segmentation","date":"2022-12-29","arxiv_id":"2212.14154","repositories_listed":0,"syntology":null},{"url":null,"slug":"structural-state-translation-condition","title":"Structural State Translation: Condition Transfer between Civil Structures Using Domain-Generalization for Structural Health Monitoring","date":"2022-12-28","arxiv_id":"2212.14048","repositories_listed":0,"syntology":null},{"url":null,"slug":"target-conditioned-representation","title":"Target Conditioned Representation Independence (TCRI); From Domain-Invariant to Domain-General Representations","date":"2022-12-21","arxiv_id":"2212.11342","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-view-knowledge-distillation-from-crowd","title":"Multi-View Knowledge Distillation from Crowd Annotations for Out-of-Domain Generalization","date":"2022-12-19","arxiv_id":"2212.09409","repositories_listed":0,"syntology":null},{"url":null,"slug":"poe-a-panel-of-experts-for-generalized","title":"PoE: a Panel of Experts for Generalized Automatic Dialogue Assessment","date":"2022-12-18","arxiv_id":"2212.08992","repositories_listed":0,"syntology":null},{"url":null,"slug":"synthetic-to-real-domain-generalized-semantic","title":"Synthetic-to-Real Domain Generalized Semantic Segmentation for 3D Indoor Point Clouds","date":"2022-12-09","arxiv_id":"2212.04668","repositories_listed":0,"syntology":null},{"url":null,"slug":"generalizable-person-re-identification-via-1","title":"Generalizable Person Re-Identification via Viewpoint Alignment and Fusion","date":"2022-12-05","arxiv_id":"2212.02398","repositories_listed":0,"syntology":null},{"url":null,"slug":"domain-adaptation-and-generalization-on","title":"Domain Adaptation and Generalization on Functional Medical Images: A Systematic Survey","date":"2022-12-04","arxiv_id":"2212.03176","repositories_listed":0,"syntology":null},{"url":null,"slug":"generalizing-multiple-object-tracking-to","title":"Generalizing Multiple Object Tracking to Unseen Domains by Introducing Natural Language Representation","date":"2022-12-03","arxiv_id":"2212.01568","repositories_listed":0,"syntology":null}],"record_sha256":"0d470056ae7ffdd2d1e49614c0373e24e3b5eaec5da79a13cbddc20ba62b936c","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}