{"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/object/papers/59","list_of":"/task/object","task":"Object","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":59,"pages_in_order":107,"rows_per_page":100,"rows":[5801,5900],"of":10696,"counts":{"archive_papers_tagged":10696,"with_a_code_link":3979,"where_syntology_ran_a_sample":1043,"not_listed_spam_title":0,"listed":10696,"listed_where_code_ran":1043,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":919,"every_run_a_failure_of_syntologys_instrument":124,"listed_with_a_run_with_no_instrument_failure":919,"listed_every_run_a_failure_of_syntologys_instrument":124,"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/object","prev":"/task/object/papers/58","next":"/task/object/papers/60","papers":[{"url":null,"slug":"bott-box-only-transformer-tracker-for-3d","title":"BOTT: Box Only Transformer Tracker for 3D Object Tracking","date":"2023-08-17","arxiv_id":"2308.08753","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-lightweight-object-detectors-via","title":"Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation","date":"2023-08-17","arxiv_id":"2308.09105","repositories_listed":0,"syntology":null},{"url":null,"slug":"mv-rope-multi-view-constraints-for-robust","title":"MV-ROPE: Multi-view Constraints for Robust Category-level Object Pose and Size Estimation","date":"2023-08-17","arxiv_id":"2308.08856","repositories_listed":0,"syntology":null},{"url":null,"slug":"semantic-information-for-object-detection","title":"Semantic Information for Object Detection","date":"2023-08-17","arxiv_id":"2308.08990","repositories_listed":0,"syntology":null},{"url":null,"slug":"agglomerative-transformer-for-human-object","title":"Agglomerative Transformer for Human-Object Interaction Detection","date":"2023-08-16","arxiv_id":"2308.08370","repositories_listed":0,"syntology":null},{"url":null,"slug":"classification-committee-for-active-deep","title":"Classification Committee for Active Deep Object Detection","date":"2023-08-16","arxiv_id":"2308.08476","repositories_listed":0,"syntology":null},{"url":null,"slug":"leveraging-next-active-objects-for-context","title":"Leveraging Next-Active Objects for Context-Aware Anticipation in Egocentric Videos","date":"2023-08-16","arxiv_id":"2308.08303","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploiting-sparsity-in-automotive-radar","title":"Exploiting Sparsity in Automotive Radar Object Detection Networks","date":"2023-08-15","arxiv_id":"2308.07748","repositories_listed":0,"syntology":null},{"url":null,"slug":"grasp-transfer-based-on-self-aligning","title":"Grasp Transfer based on Self-Aligning Implicit Representations of Local Surfaces","date":"2023-08-15","arxiv_id":"2308.07807","repositories_listed":0,"syntology":null},{"url":null,"slug":"folt-fast-multiple-object-tracking-from-uav","title":"FOLT: Fast Multiple Object Tracking from UAV-captured Videos Based on Optical Flow","date":"2023-08-14","arxiv_id":"2308.07207","repositories_listed":0,"syntology":null},{"url":null,"slug":"hpformer-hyperspectral-image-prompt-object","title":"HHTrack: Hyperspectral Object Tracking Using Hybrid Attention","date":"2023-08-14","arxiv_id":"2308.07016","repositories_listed":0,"syntology":null},{"url":null,"slug":"patchcontrast-self-supervised-pre-training","title":"PatchContrast: Self-Supervised Pre-training for 3D Object Detection","date":"2023-08-14","arxiv_id":"2308.06985","repositories_listed":0,"syntology":null},{"url":null,"slug":"space-object-identification-and","title":"Space Object Identification and Classification from Hyperspectral Material Analysis","date":"2023-08-14","arxiv_id":"2308.07481","repositories_listed":0,"syntology":null},{"url":null,"slug":"camouflaged-image-synthesis-is-all-you-need","title":"Camouflaged Image Synthesis Is All You Need to Boost Camouflaged Detection","date":"2023-08-13","arxiv_id":"2308.06701","repositories_listed":0,"syntology":null},{"url":null,"slug":"law-diffusion-complex-scene-generation-by","title":"LAW-Diffusion: Complex Scene Generation by Diffusion with Layouts","date":"2023-08-13","arxiv_id":"2308.06713","repositories_listed":0,"syntology":null},{"url":null,"slug":"compositional-learning-in-transformer-based","title":"Compositional Learning in Transformer-Based Human-Object Interaction Detection","date":"2023-08-11","arxiv_id":"2308.05961","repositories_listed":0,"syntology":null},{"url":null,"slug":"rethinking-the-localization-in-weakly","title":"Rethinking the Localization in Weakly Supervised Object Localization","date":"2023-08-11","arxiv_id":"2308.06161","repositories_listed":0,"syntology":null},{"url":null,"slug":"semantic-embedded-similarity-prototype-for","title":"Semantic-embedded Similarity Prototype for Scene Recognition","date":"2023-08-11","arxiv_id":"2308.05896","repositories_listed":0,"syntology":null},{"url":null,"slug":"absorption-based-passive-range-imaging-from","title":"Absorption-Based, Passive Range Imaging from Hyperspectral Thermal Measurements","date":"2023-08-10","arxiv_id":"2308.05818","repositories_listed":0,"syntology":null},{"url":null,"slug":"object-goal-navigation-with-recursive","title":"Object Goal Navigation with Recursive Implicit Maps","date":"2023-08-10","arxiv_id":"2308.05602","repositories_listed":0,"syntology":null},{"url":null,"slug":"reviewing-3d-object-detectors-in-the-context","title":"Reviewing 3D Object Detectors in the Context of High-Resolution 3+1D Radar","date":"2023-08-10","arxiv_id":"2308.05478","repositories_listed":0,"syntology":null},{"url":null,"slug":"seed-kernel-counting-using-domain","title":"Seed Kernel Counting using Domain Randomization and Object Tracking Neural Networks","date":"2023-08-10","arxiv_id":"2308.05846","repositories_listed":0,"syntology":null},{"url":null,"slug":"e3-uav-an-edge-based-energy-efficient-object","title":"E$^3$-UAV: An Edge-based Energy-Efficient Object Detection System for Unmanned Aerial Vehicles","date":"2023-08-09","arxiv_id":"2308.04774","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-empirical-analysis-of-range-for-3d-object","title":"An Empirical Analysis of Range for 3D Object Detection","date":"2023-08-08","arxiv_id":"2308.04054","repositories_listed":0,"syntology":null},{"url":"/paper/epcformer-expression-prompt-collaboration","slug":"epcformer-expression-prompt-collaboration","title":"Expression Prompt Collaboration Transformer for Universal Referring Video Object Segmentation","date":"2023-08-08","arxiv_id":"2308.04162","repositories_listed":0,"syntology":null},{"url":null,"slug":"rendering-humans-from-object-occluded","title":"Rendering Humans from Object-Occluded Monocular Videos","date":"2023-08-08","arxiv_id":"2308.04622","repositories_listed":0,"syntology":null},{"url":null,"slug":"when-super-resolution-meets-camouflaged","title":"When Super-Resolution Meets Camouflaged Object Detection: A Comparison Study","date":"2023-08-08","arxiv_id":"2308.04370","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-photometric-feature-transform-for","title":"Learning Photometric Feature Transform for Free-form Object Scan","date":"2023-08-07","arxiv_id":"2308.03492","repositories_listed":0,"syntology":null},{"url":null,"slug":"intertracker-discovering-and-tracking-general","title":"InterTracker: Discovering and Tracking General Objects Interacting with Hands in the Wild","date":"2023-08-06","arxiv_id":"2308.03061","repositories_listed":0,"syntology":null},{"url":null,"slug":"dtf-net-category-level-pose-estimation-and","title":"DTF-Net: Category-Level Pose Estimation and Shape Reconstruction via Deformable Template Field","date":"2023-08-04","arxiv_id":"2308.02239","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-human-object-interaction-detection-1","title":"Improving Human-Object Interaction Detection via Virtual Image Learning","date":"2023-08-04","arxiv_id":"2308.02606","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-referring-video-object-segmentation","title":"Learning Referring Video Object Segmentation from Weak Annotation","date":"2023-08-04","arxiv_id":"2308.02162","repositories_listed":0,"syntology":null},{"url":null,"slug":"m2former-multi-scale-patch-selection-for-fine","title":"M2Former: Multi-Scale Patch Selection for Fine-Grained Visual Recognition","date":"2023-08-04","arxiv_id":"2308.02161","repositories_listed":0,"syntology":null},{"url":null,"slug":"nonprehensile-planar-manipulation-through","title":"Nonprehensile Planar Manipulation through Reinforcement Learning with Multimodal Categorical Exploration","date":"2023-08-04","arxiv_id":"2308.02459","repositories_listed":0,"syntology":null},{"url":null,"slug":"frod-robust-object-detection-for-free","title":"FROD: Robust Object Detection for Free","date":"2023-08-03","arxiv_id":"2308.01888","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-implicit-entity-object-relations-by","title":"Learning Implicit Entity-object Relations by Bidirectional Generative Alignment for Multimodal NER","date":"2023-08-03","arxiv_id":"2308.02570","repositories_listed":0,"syntology":null},{"url":null,"slug":"reidtrack-multi-object-track-and-segmentation","title":"ReIDTrack: Multi-Object Track and Segmentation Without Motion","date":"2023-08-03","arxiv_id":"2308.01622","repositories_listed":0,"syntology":null},{"url":null,"slug":"mdt3d-multi-dataset-training-for-lidar-3d","title":"MDT3D: Multi-Dataset Training for LiDAR 3D Object Detection Generalization","date":"2023-08-02","arxiv_id":"2308.01000","repositories_listed":0,"syntology":null},{"url":null,"slug":"revisiting-detr-pre-training-for-object","title":"Revisiting DETR Pre-training for Object Detection","date":"2023-08-02","arxiv_id":"2308.01300","repositories_listed":0,"syntology":null},{"url":null,"slug":"diffusion-model-for-camouflaged-object","title":"Diffusion Model for Camouflaged Object Detection","date":"2023-08-01","arxiv_id":"2308.00303","repositories_listed":0,"syntology":null},{"url":null,"slug":"mononext-a-3d-monocular-object-detection-with","title":"MonoNext: A 3D Monocular Object Detection with ConvNext","date":"2023-08-01","arxiv_id":"2308.00596","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-modular-ontology-for-mods-metadata-object","title":"A Modular Ontology for MODS -- Metadata Object Description Schema","date":"2023-07-31","arxiv_id":"2308.00116","repositories_listed":0,"syntology":null},{"url":null,"slug":"audio-visual-segmentation-sound-localization","title":"Audio-Visual Segmentation by Exploring Cross-Modal Mutual Semantics","date":"2023-07-31","arxiv_id":"2307.16620","repositories_listed":0,"syntology":null},{"url":null,"slug":"bridging-the-gap-exploring-the-capabilities","title":"Bridging the Gap: Exploring the Capabilities of Bridge-Architectures for Complex Visual Reasoning Tasks","date":"2023-07-31","arxiv_id":"2307.16395","repositories_listed":0,"syntology":null},{"url":null,"slug":"implementing-edge-based-object-detection-for","title":"Implementing Edge Based Object Detection For Microplastic Debris","date":"2023-07-30","arxiv_id":"2307.16289","repositories_listed":0,"syntology":null},{"url":null,"slug":"uncertainty-encoded-multi-modal-fusion-for","title":"Uncertainty-Encoded Multi-Modal Fusion for Robust Object Detection in Autonomous Driving","date":"2023-07-30","arxiv_id":"2307.16121","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-object-detection-in-ancient","title":"Enhancing Object Detection in Ancient Documents with Synthetic Data Generation and Transformer-Based Models","date":"2023-07-29","arxiv_id":"2307.16005","repositories_listed":0,"syntology":null},{"url":null,"slug":"semi-supervised-object-detection-in-the-open","title":"Generalized Open-World Semi-Supervised Object Detection","date":"2023-07-28","arxiv_id":"2307.15710","repositories_listed":0,"syntology":null},{"url":null,"slug":"simdetr-simplifying-self-supervised","title":"Aligned Unsupervised Pretraining of Object Detectors with Self-training","date":"2023-07-28","arxiv_id":"2307.15697","repositories_listed":0,"syntology":null},{"url":null,"slug":"trackagent-6d-object-tracking-via","title":"TrackAgent: 6D Object Tracking via Reinforcement Learning","date":"2023-07-28","arxiv_id":"2307.15671","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-memory-augmented-multi-task-collaborative","title":"A Memory-Augmented Multi-Task Collaborative Framework for Unsupervised Traffic Accident Detection in Driving Videos","date":"2023-07-27","arxiv_id":"2307.14575","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-detection-and-rectification-for-identity","title":"The detection and rectification for identity-switch based on unfalsified control","date":"2023-07-27","arxiv_id":"2307.14591","repositories_listed":0,"syntology":null},{"url":null,"slug":"yolobench-benchmarking-efficient-object","title":"YOLOBench: Benchmarking Efficient Object Detectors on Embedded Systems","date":"2023-07-26","arxiv_id":"2307.13901","repositories_listed":0,"syntology":null},{"url":null,"slug":"3drp-net-3d-relative-position-aware-network","title":"3DRP-Net: 3D Relative Position-aware Network for 3D Visual Grounding","date":"2023-07-25","arxiv_id":"2307.13363","repositories_listed":0,"syntology":null},{"url":null,"slug":"cos-r-cnn-for-online-few-shot-object","title":"Cos R-CNN for Online Few-shot Object Detection","date":"2023-07-25","arxiv_id":"2307.13485","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-transferable-object-centric","title":"Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation","date":"2023-07-25","arxiv_id":"2307.13645","repositories_listed":0,"syntology":null},{"url":null,"slug":"transnet-transparent-object-manipulation","title":"TransNet: Transparent Object Manipulation Through Category-Level Pose Estimation","date":"2023-07-23","arxiv_id":"2307.12400","repositories_listed":0,"syntology":null},{"url":null,"slug":"challenges-for-monocular-6d-object-pose","title":"Challenges for Monocular 6D Object Pose Estimation in Robotics","date":"2023-07-22","arxiv_id":"2307.12172","repositories_listed":0,"syntology":null},{"url":null,"slug":"leveraging-knowledge-graphs-for-zero-shot","title":"Leveraging Knowledge Graphs for Zero-Shot Object-agnostic State Classification","date":"2023-07-22","arxiv_id":"2307.12179","repositories_listed":0,"syntology":null},{"url":null,"slug":"redemption-from-range-view-for-accurate-3d","title":"R2Det: Redemption from Range-view for Accurate 3D Object Detection","date":"2023-07-21","arxiv_id":"2307.11482","repositories_listed":0,"syntology":null},{"url":null,"slug":"yolopose-v2-understanding-and-improving","title":"YOLOPose V2: Understanding and Improving Transformer-based 6D Pose Estimation","date":"2023-07-21","arxiv_id":"2307.11550","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-novel-integrated-method-of-detection","title":"A novel integrated method of detection-grasping for specific object based on the box coordinate matching","date":"2023-07-20","arxiv_id":"2307.11783","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-online-lane-graph-extraction-by","title":"Improving Online Lane Graph Extraction by Object-Lane Clustering","date":"2023-07-20","arxiv_id":"2307.10947","repositories_listed":0,"syntology":null},{"url":null,"slug":"sca-pvnet-self-and-cross-attention-based","title":"SCA-PVNet: Self-and-Cross Attention Based Aggregation of Point Cloud and Multi-View for 3D Object Retrieval","date":"2023-07-20","arxiv_id":"2307.10601","repositories_listed":0,"syntology":null},{"url":null,"slug":"mining-conditional-part-semantics-with","title":"Mining Conditional Part Semantics with Occluded Extrapolation for Human-Object Interaction Detection","date":"2023-07-19","arxiv_id":"2307.10499","repositories_listed":0,"syntology":null},{"url":null,"slug":"online-continual-learning-for-robust-indoor","title":"Online Continual Learning for Robust Indoor Object Recognition","date":"2023-07-19","arxiv_id":"2307.09827","repositories_listed":0,"syntology":null},{"url":null,"slug":"conditional-360-degree-image-synthesis-for","title":"Conditional 360-degree Image Synthesis for Immersive Indoor Scene Decoration","date":"2023-07-18","arxiv_id":"2307.09621","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-dynamic-attribute-factored-world","title":"Learning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement Learning","date":"2023-07-18","arxiv_id":"2307.09205","repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-conditional-slot-attention-for","title":"Grounded Object Centric Learning","date":"2023-07-18","arxiv_id":"2307.09437","repositories_listed":0,"syntology":null},{"url":null,"slug":"active-learning-for-object-detection-with-non","title":"Active Learning for Object Detection with Non-Redundant Informative Sampling","date":"2023-07-17","arxiv_id":"2307.08414","repositories_listed":0,"syntology":null},{"url":null,"slug":"does-visual-pretraining-help-end-to-end","title":"Does Visual Pretraining Help End-to-End Reasoning?","date":"2023-07-17","arxiv_id":"2307.08506","repositories_listed":0,"syntology":null},{"url":null,"slug":"hierarchical-spatiotemporal-transformers-for","title":"Hierarchical Spatiotemporal Transformers for Video Object Segmentation","date":"2023-07-17","arxiv_id":"2307.08263","repositories_listed":0,"syntology":null},{"url":null,"slug":"lidar-bevmtn-real-time-lidar-bird-s-eye-view","title":"LiDAR-BEVMTN: Real-Time LiDAR Bird's-Eye View Multi-Task Perception Network for Autonomous Driving","date":"2023-07-17","arxiv_id":"2307.08850","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-task-cross-modality-attention-fusion","title":"Multi-Task Cross-Modality Attention-Fusion for 2D Object Detection","date":"2023-07-17","arxiv_id":"2307.08339","repositories_listed":0,"syntology":null},{"url":null,"slug":"rethinking-intersection-over-union-for-small","title":"Rethinking Intersection Over Union for Small Object Detection in Few-Shot Regime","date":"2023-07-17","arxiv_id":"2307.09562","repositories_listed":0,"syntology":null},{"url":"/paper/cvsformer-cross-view-synthesis-transformer","slug":"cvsformer-cross-view-synthesis-transformer","title":"CVSformer: Cross-View Synthesis Transformer for Semantic Scene Completion","date":"2023-07-16","arxiv_id":"2307.07938","repositories_listed":0,"syntology":{"n":8,"n_ran":5,"n_constructed":0,"n_ran_checked":5,"n_instrument":0,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":5,"n_pointer_only":8,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/cvsformer-cross-view-synthesis-transformer#ran","syntology_url":"https://syntology.ai/paper/2307.07938","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2307.07938"}},"official":null}},{"url":null,"slug":"enforcing-topological-interaction-between","title":"Enforcing 3D Topological Constraints in Composite Objects via Implicit Functions","date":"2023-07-16","arxiv_id":"2307.08716","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-object-discovery-by-low-dimensional","title":"Multi-Object Discovery by Low-Dimensional Object Motion","date":"2023-07-16","arxiv_id":"2307.08027","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-from-pseudo-labeled-segmentation-for","title":"Learning from Pseudo-labeled Segmentation for Multi-Class Object Counting","date":"2023-07-15","arxiv_id":"2307.07677","repositories_listed":0,"syntology":null},{"url":null,"slug":"deteksi-sampah-di-permukaan-dan-dalam","title":"Deteksi Sampah di Permukaan dan Dalam Perairan pada Objek Video dengan Metode Robust and Efficient Post-Processing dan Tubelet-Level Bounding Box Linking","date":"2023-07-14","arxiv_id":"2307.10039","repositories_listed":0,"syntology":null},{"url":null,"slug":"mpdiou-a-loss-for-efficient-and-accurate","title":"MPDIoU: A Loss for Efficient and Accurate Bounding Box Regression","date":"2023-07-14","arxiv_id":"2307.07662","repositories_listed":0,"syntology":null},{"url":null,"slug":"pitl-cross-modal-retrieval-with-weakly","title":"PiTL: Cross-modal Retrieval with Weakly-supervised Vision-language Pre-training via Prompting","date":"2023-07-14","arxiv_id":"2307.07341","repositories_listed":0,"syntology":null},{"url":null,"slug":"switching-head-tail-funnel-uniter-for-dual","title":"Switching Head-Tail Funnel UNITER for Dual Referring Expression Comprehension with Fetch-and-Carry Tasks","date":"2023-07-14","arxiv_id":"2307.07166","repositories_listed":0,"syntology":null},{"url":null,"slug":"multimodal-object-detection-in-remote-sensing","title":"Multimodal Object Detection in Remote Sensing","date":"2023-07-13","arxiv_id":"2307.06724","repositories_listed":0,"syntology":null},{"url":null,"slug":"deterministic-multi-sensor-measurement","title":"Deterministic Multi-sensor Measurement-adaptive Birth using Labeled Random Finite Sets","date":"2023-07-12","arxiv_id":"2307.06401","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-hierarchical-interactive-multi","title":"Learning Hierarchical Interactive Multi-Object Search for Mobile Manipulation","date":"2023-07-12","arxiv_id":"2307.06125","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-object-tracking-as-attention-mechanism","title":"Multi-Object Tracking as Attention Mechanism","date":"2023-07-12","arxiv_id":"2307.05874","repositories_listed":0,"syntology":null},{"url":"/paper/transpose-large-scale-multispectral-dataset","slug":"transpose-large-scale-multispectral-dataset","title":"TRansPose: Large-Scale Multispectral Dataset for Transparent Object","date":"2023-07-11","arxiv_id":"2307.05016","repositories_listed":0,"syntology":null},{"url":"/paper/fodvid-flow-guided-object-discovery-in-videos","slug":"fodvid-flow-guided-object-discovery-in-videos","title":"FODVid: Flow-guided Object Discovery in Videos","date":"2023-07-10","arxiv_id":"2307.04392","repositories_listed":0,"syntology":null},{"url":null,"slug":"joint-salient-object-detection-and","title":"Joint Salient Object Detection and Camouflaged Object Detection via Uncertainty-aware Learning","date":"2023-07-10","arxiv_id":"2307.04651","repositories_listed":0,"syntology":null},{"url":null,"slug":"reasoning-over-the-behaviour-of-objects-in","title":"Reasoning over the Behaviour of Objects in Video-Clips for Adverb-Type Recognition","date":"2023-07-09","arxiv_id":"2307.04132","repositories_listed":0,"syntology":null},{"url":null,"slug":"reducing-false-alarms-in-video-surveillance","title":"Reducing False Alarms in Video Surveillance by Deep Feature Statistical Modeling","date":"2023-07-09","arxiv_id":"2307.04159","repositories_listed":0,"syntology":null},{"url":null,"slug":"artificial-eye-for-the-blind","title":"Artificial Eye for the Blind","date":"2023-07-07","arxiv_id":"2308.00801","repositories_listed":0,"syntology":null},{"url":null,"slug":"joint-perceptual-learning-for-enhancement-and","title":"Joint Perceptual Learning for Enhancement and Object Detection in Underwater Scenarios","date":"2023-07-07","arxiv_id":"2307.03536","repositories_listed":0,"syntology":null},{"url":null,"slug":"open-vocabulary-object-detection-via-scene","title":"Open-Vocabulary Object Detection via Scene Graph Discovery","date":"2023-07-07","arxiv_id":"2307.03339","repositories_listed":0,"syntology":null},{"url":null,"slug":"focus-object-centric-world-models-for","title":"FOCUS: Object-Centric World Models for Robotics Manipulation","date":"2023-07-05","arxiv_id":"2307.02427","repositories_listed":0,"syntology":null},{"url":null,"slug":"zju-reler-submission-for-epic-kitchen","title":"ZJU ReLER Submission for EPIC-KITCHEN Challenge 2023: Semi-Supervised Video Object Segmentation","date":"2023-07-05","arxiv_id":"2307.02010","repositories_listed":0,"syntology":null},{"url":null,"slug":"zju-reler-submission-for-epic-kitchen-1","title":"ZJU ReLER Submission for EPIC-KITCHEN Challenge 2023: TREK-150 Single Object Tracking","date":"2023-07-05","arxiv_id":"2307.02508","repositories_listed":0,"syntology":null},{"url":null,"slug":"eanet-enhanced-attribute-based-rgbt-tracker","title":"EANet: Enhanced Attribute-based RGBT Tracker Network","date":"2023-07-04","arxiv_id":"2307.01893","repositories_listed":0,"syntology":null},{"url":null,"slug":"suit-learning-significance-guided-information","title":"SUIT: Learning Significance-guided Information for 3D Temporal Detection","date":"2023-07-04","arxiv_id":"2307.01807","repositories_listed":0,"syntology":null}],"record_sha256":"bfbe170b48fd2b9c32a970e929caf0f86eb121df19f963cf140b00becfcd5477","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}