| From Compression to Deployment: Real-Time and Energy-Efficient FastGRNN on Ultra-Constrained Microcontrollers added by Syntology |
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emre1998/fastgrnn-har/analyze_drift.py 57a18eb12b46f21f |
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| The Devil is in the Condition Numbers: Why is GLU Better than non-GLU Structure? added by Syntology |
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| ABFR-KAN: Kolmogorov-Arnold Networks for Functional Brain Analysis added by Syntology |
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| Test3R: Learning to Reconstruct 3D at Test Time |
16 Jun 2025 |
nopqaq/test3r/croco/models/dpt_block.py 6ba8cee9f5daea41 |
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| MuQ: Self-Supervised Music Representation Learning with Mel Residual Vector Quantization |
2 Jan 2025 |
tencent-ailab/muq/src/muq/muq_mulan/models/audio.py feb6de6bd3620143 |
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| Holmes-VAU: Towards Long-term Video Anomaly Understanding at Any Granularity |
9 Dec 2024 |
pipixin321/holmesvau/holmesvau/ATS/anomaly_scorer.py 6ba8cee9f5daea41 |
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| Latent Action Pretraining from Videos |
15 Oct 2024 |
LatentActionPretraining/LAPA/laq/laq_model/latent_action_quantization.py 6d5ab71931a90677 |
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| Latent Action Pretraining from Videos |
15 Oct 2024 |
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| Why Go Full? Elevating Federated Learning Through Partial Network Updates |
15 Oct 2024 |
FLAIR-Community/Fling/fling/model/vit.py 6ba8cee9f5daea41 |
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| ECHOPulse: ECG controlled echocardio-grams video generation |
4 Oct 2024 |
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| Autoregressive Action Sequence Learning for Robotic Manipulation |
4 Oct 2024 |
mlzxy/arp/real-robot/vit.py 6ba8cee9f5daea41 |
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| M2OST: Many-to-one Regression for Predicting Spatial Transcriptomics from Digital Pathology Images |
23 Sep 2024 |
dootmaan/m2ost/model/M2OST.py 6ba8cee9f5daea41 |
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| Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small Datasets |
28 Jul 2024 |
ztx-100/efficient_vit_with_dw/models/vit.py 6ba8cee9f5daea41 |
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| Dual-stage Hyperspectral Image Classification Model with Spectral Supertoken |
10 Jul 2024 |
laprf/DSTC/models/VIT.py 6ba8cee9f5daea41 |
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| OmniTokenizer: A Joint Image-Video Tokenizer for Visual Generation |
13 Jun 2024 |
foundationvision/omnitokenizer/OmniTokenizer/omnitokenizer.py 6d5ab71931a90677 |
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| Cross-Modal Learning for Anomaly Detection in Complex Industrial Process: Methodology and Benchmark |
13 Jun 2024 |
gaochangwu/fmf-benchmark/FMF/models/VitForViCu.py 6ba8cee9f5daea41 |
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| DenoiseRep: Denoising Model for Representation Learning |
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wangguanan/DenoiseRep/Classification/cifar-10/vision-transformers-cifar10/models/vit.py 6ba8cee9f5daea41 |
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| Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image Generation |
4 Jun 2024 |
ai-med/stablepose/ldm/modules/pmsa_vit.py 6ba8cee9f5daea41 |
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| SpaFL: Communication-Efficient Federated Learning with Sparse Models and Low computational Overhead |
1 Jun 2024 |
news-vt/SpaFL_NeruIPS_2024/main/cifar10/model/net.py 6ba8cee9f5daea41 |
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| einspace: Searching for Neural Architectures from Fundamental Operations |
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| Poseidon: Efficient Foundation Models for PDEs |
29 May 2024 |
bogdanraonic3/convolutionalneuraloperator/CNO2d_temporal/CNO_timeModule_CIN.py 6ba8cee9f5daea41 |
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| Unisolver: PDE-Conditional Transformers Are Universal PDE Solvers |
27 May 2024 |
thuml/Unisolver/1D_Time_Dependent_PDE/models/Unisolver_1D.py 6ba8cee9f5daea41 |
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| Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models |
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LINs-lab/DynMoE/Examples/DeepSpeed-MoE/dynmoe_vit.py 6ba8cee9f5daea41 |
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| DiffTF++: 3D-aware Diffusion Transformer for Large-Vocabulary 3D Generation |
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| CaFA: Global Weather Forecasting with Factorized Attention on Sphere |
12 May 2024 |
BaratiLab/CaFA/libs/attention.py 6ba8cee9f5daea41 |
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| EEG-Deformer: A Dense Convolutional Transformer for Brain-computer Interfaces |
25 Apr 2024 |
yi-ding-cs/eeg-deformer/models/EEGDeformer.py 6ba8cee9f5daea41 |
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| Rethinking Transformer-Based Blind-Spot Network for Self-Supervised Image Denoising |
11 Apr 2024 |
nagejacob/tbsn/network/base_function.py 3e27684df29ad41d |
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| Masked Completion via Structured Diffusion with White-Box Transformers |
3 Apr 2024 |
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| Revisiting Random Weight Perturbation for Efficiently Improving Generalization |
30 Mar 2024 |
nblt/marwp/models/vit.py 6ba8cee9f5daea41 |
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| Residual-based Language Models are Free Boosters for Biomedical Imaging |
26 Mar 2024 |
zhixinlai/llmboostmedical/3D_classification/models/vit3d_llama.py 6ba8cee9f5daea41 |
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| Online Adaptation of Language Models with a Memory of Amortized Contexts |
7 Mar 2024 |
jihoontack/MAC/models/module/self_attention.py 6ba8cee9f5daea41 |
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| Slot Abstractors: Toward Scalable Abstract Visual Reasoning |
6 Mar 2024 |
shanka123/slot-abstractor/art/slot_abstractor.py 6ba8cee9f5daea41 |
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| ShapeLLM: Universal 3D Object Understanding for Embodied Interaction |
27 Feb 2024 |
runpeidong/act/utils/transformer_layers.py 6ba8cee9f5daea41 |
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| Pan-Mamba: Effective pan-sharpening with State Space Model |
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alexhe101/pan-mamba/pan-sharpening/model/spatial_shift.py e6f9d3b5ad66ee20 |
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| Detecting AI-Generated Video via Frame Consistency |
3 Feb 2024 |
wuwuwuyue/decof/src/vit.py 6ba8cee9f5daea41 |
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| Fourier Prompt Tuning for Modality-Incomplete Scene Segmentation |
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ruipingl/miss/semseg/models/backbones/fpt.py 6ba8cee9f5daea41 |
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| Momentum-SAM: Sharpness Aware Minimization without Computational Overhead |
22 Jan 2024 |
marlonbecker/msam/models/vit.py 6ba8cee9f5daea41 |
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| M2ORT: Many-To-One Regression Transformer for Spatial Transcriptomics Prediction from Histopathology Images |
19 Jan 2024 |
dootmaan/m2ort/model/M2ORT.py 6ba8cee9f5daea41 |
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| DistFormer: Enhancing Local and Global Features for Monocular Per-Object Distance Estimation |
6 Jan 2024 |
apanariello4/DistFormer/models/mae.py 55b6fb419c3c6971 |
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| FoMo-Bench: a multi-modal, multi-scale and multi-task Forest Monitoring Benchmark for remote sensing foundation models |
15 Dec 2023 |
rolnicklab/fomo-bench/model_zoo/multimodal_mae.py 6ba8cee9f5daea41 |
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| Dataset Distillation via Adversarial Prediction Matching |
14 Dec 2023 |
mchen725/DD_APM/networks.py 6ba8cee9f5daea41 |
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| Detection and Defense of Unlearnable Examples |
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hala64/udp/model/ViT.py 6ba8cee9f5daea41 |
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| Using Large Language Models for Hyperparameter Optimization |
7 Dec 2023 |
michaelrzhang/llm-hyperopt/cifar/vit.py 6ba8cee9f5daea41 |
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| Learning Anatomically Consistent Embedding for Chest Radiography |
1 Dec 2023 |
jlianglab/peac/models/vit.py 6ba8cee9f5daea41 |
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| BatchNorm-based Weakly Supervised Video Anomaly Detection |
26 Nov 2023 |
cool-xuan/bn-wvad/models/translayer.py 6ba8cee9f5daea41 |
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| White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is? |
22 Nov 2023 |
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| Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly Detection |
29 Oct 2023 |
tzjtatata/myriad/minigpt4/models/fuser.py 6ba8cee9f5daea41 |
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| Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning |
27 Oct 2023 |
ubc-tea/SGPT/models/vit.py 6ba8cee9f5daea41 |
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| arXiv:2310.15999 |
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abhrac/trd/src/networks/ast.py 6ba8cee9f5daea41 |
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| A Comparative Study of Image Restoration Networks for General Backbone Network Design |
18 Oct 2023 |
andrew0613/x-restormer/xrestormer/archs/xrestormer_arch.py 3e27684df29ad41d |
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| When can transformers reason with abstract symbols? |
15 Oct 2023 |
eboix/relational-reasoning/experiments/models.py 6ba8cee9f5daea41 |
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| Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation |
9 Oct 2023 |
lucidrains/magvit2-pytorch/magvit2_pytorch/data.py 9270ed2833cf3467 |
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| Understanding Deep Gradient Leakage via Inversion Influence Functions |
22 Sep 2023 |
illidanlab/inversion-influence-function/baseline_utils.py 6ba8cee9f5daea41 |
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| Autoregressive Omni-Aware Outpainting for Open-Vocabulary 360-Degree Image Generation |
7 Sep 2023 |
zhuqiangLu/AOG-NET-360/models/modules.py 6ba8cee9f5daea41 |
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| Learning Diverse Features in Vision Transformers for Improved Generalization |
30 Aug 2023 |
armandnm/diverse-vit/diverse_vit/models/vision_transformer.py 3ef0f95af411f96b |
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| Emergence of Segmentation with Minimalistic White-Box Transformers |
30 Aug 2023 |
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| Boosting Residual Networks with Group Knowledge |
26 Aug 2023 |
tsj-001/aaai24-gkt/gkt/model_bank/cait_ddp.py 6ba8cee9f5daea41 |
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| Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical Data |
4 Aug 2023 |
chaoyi-wu/radfm/Quick_demo/Model/RadFM/vit_3d.py 6ba8cee9f5daea41 |
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| Systematic Visual Reasoning through Object-Centric Relational Abstraction |
4 Jun 2023 |
shanka123/ocra/ocra.py 6ba8cee9f5daea41 |
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| White-Box Transformers via Sparse Rate Reduction |
1 Jun 2023 |
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| Modality-invariant Visual Odometry for Embodied Vision |
29 Apr 2023 |
memmelma/VO-Transformer/pointnav_vo/mmae/mmae_utils.py 6ba8cee9f5daea41 |
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| SpectFormer: Frequency and Attention is what you need in a Vision Transformer |
13 Apr 2023 |
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| A New Benchmark: On the Utility of Synthetic Data with Blender for Bare Supervised Learning and Downstream Domain Adaptation |
16 Mar 2023 |
huitangtang/on_the_utility_of_synthetic_data/supervised_learning/models/vit.py 6ba8cee9f5daea41 |
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| Learning to reason over visual objects |
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shanka123/stsn/clevr_slot_transformer.py 6ba8cee9f5daea41 |
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| Convolutional Neural Operators for robust and accurate learning of PDEs |
2 Feb 2023 |
camlab-ethz/convolutionalneuraloperator/CNO2d_temporal/CNO_timeModule_CIN.py 6ba8cee9f5daea41 |
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| Zorro: the masked multimodal transformer |
23 Jan 2023 |
lucidrains/zorro-pytorch/zorro_pytorch/zorro_pytorch.py feb6de6bd3620143 |
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| VideoReTalking: Audio-based Lip Synchronization for Talking Head Video Editing In the Wild |
27 Nov 2022 |
vinthony/video-retalking/models/transformer.py 6ba8cee9f5daea41 |
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| FedTP: Federated Learning by Transformer Personalization |
3 Nov 2022 |
zhyczy/fedtp/models/vit.py 6ba8cee9f5daea41 |
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| Relational Proxies: Emergent Relationships as Fine-Grained Discriminators |
5 Oct 2022 |
abhrac/relational-proxies/src/networks/ast.py 6ba8cee9f5daea41 |
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| DC-BENCH: Dataset Condensation Benchmark |
20 Jul 2022 |
justincui03/dc_benchmark/networks/vit.py 6ba8cee9f5daea41 |
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| Seeing the forest and the tree: Building representations of both individual and collective dynamics with transformers |
10 Jun 2022 |
nerdslab/EIT/my_transformers/model_utils.py 6ba8cee9f5daea41 |
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| Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport |
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konglk1203/variationalstiefeloptimizer/ViT/ViT.py 6ba8cee9f5daea41 |
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| Transformer for Partial Differential Equations' Operator Learning |
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BaratiLab/OFormer/BVP/nn_module/attention_module.py 6ba8cee9f5daea41 |
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| Multi-resolution partial differential equations preserved learning framework for spatiotemporal dynamics |
9 May 2022 |
jianxun-wang/ppnn/src/models.py 6ba8cee9f5daea41 |
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| Better plain ViT baselines for ImageNet-1k |
3 May 2022 |
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| Monarch: Expressive Structured Matrices for Efficient and Accurate Training |
1 Apr 2022 |
pascalcarrivain/ksmm/src/ksmm_py/model/vit.py 6ba8cee9f5daea41 |
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| SepViT: Separable Vision Transformer |
29 Mar 2022 |
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| ScalableViT: Rethinking the Context-oriented Generalization of Vision Transformer |
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conceptofmind/Scalable-ViT-flax/scalable_vit.py 6ba8cee9f5daea41 |
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| Three things everyone should know about Vision Transformers |
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conceptofmind/Parallel-ViT-flax/parallel_vit.py 6ba8cee9f5daea41 |
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| Learning to Merge Tokens in Vision Transformers |
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conceptofmind/ViT-Patch-Merger/patch_merger.py 6ba8cee9f5daea41 |
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| GLPanoDepth: Global-to-Local Panoramic Depth Estimation |
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LeoDarcy/GLPanoDepth/models/selftransnet/model_utils.py 6ba8cee9f5daea41 |
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| Vision Transformer for Small-Size Datasets |
27 Dec 2021 |
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| Training Deep Neural Networks with Adaptive Momentum Inspired by the Quadratic Optimization |
18 Oct 2021 |
kentaroy47/vision-transformers-cifar10/models/dyt.py 6ba8cee9f5daea41 |
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| CycleMLP: A MLP-like Architecture for Dense Prediction |
21 Jul 2021 |
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| Efficient Training of Visual Transformers with Small Datasets |
7 Jun 2021 |
yhlleo/VTs-Drloc/models/vit.py 6ba8cee9f5daea41 |
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| Pay Attention to MLPs |
17 May 2021 |
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| ResMLP: Feedforward networks for image classification with data-efficient training |
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lucidrains/res-mlp-pytorch/res_mlp_pytorch/res_mlp_pytorch.py e6f9d3b5ad66ee20 |
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| Emerging Properties in Self-Supervised Vision Transformers |
29 Apr 2021 |
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| Going deeper with Image Transformers |
31 Mar 2021 |
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| ViViT: A Video Vision Transformer |
29 Mar 2021 |
SforAiDl/vformer/vformer/models/classification/vivit.py 7deb3c28da2b4c81 |
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| Scaling Local Self-Attention for Parameter Efficient Visual Backbones |
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| Bottleneck Transformers for Visual Recognition |
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lucidrains/bottleneck-transformer-pytorch/bottleneck_transformer_pytorch/bottleneck_transformer_pytorch.py 3e27684df29ad41d |
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| An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale |
22 Oct 2020 |
lucidrains/vit-pytorch/vit_pytorch/vit.py 736b45d4b4e1b02c |
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| Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels |
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YaoMarkMu/DRQTRANS/vit.py 6ba8cee9f5daea41 |
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| arXiv:openreview_AAWlum38oE |
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| arXiv:aaai_34232 |
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| arXiv:aaai_28322 |
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| arXiv:aaai_25328 |
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| arXiv:Zhong_Blur_Interpolation_Transformer_for_Real-World_Motion_From_Blur_CVPR_2023_paper |
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| arXiv:Zhang_Holmes-VAU_Towards_Long-term_Video_Anomaly_Understanding_at_Any_Granularity_CVPR_2025_paper |
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| arXiv:Souza_Latent_Space_Imaging_CVPR_2025_paper |
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