| Rethinking Loss Reweighting for Imbalance Learning as an Inverse Problem: A Neural Collapse Point of View added by Syntology |
2026-05 (from id) |
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| Cooperative Pseudo Labeling for Unsupervised Federated Classification added by Syntology |
2025-10 (from id) |
krumpguo/FedCoPL/methods/data_aug_utils.py 53613a740588d619 |
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| Benchmarking Pathology Foundation Models: Adaptation Strategies and Scenarios |
21 Oct 2024 |
quiil/benchmarkingpathologyfoundationmodels/data_lib/RandAugment.py 7b4e3d0bd192b677 |
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| Inversion Circle Interpolation: Diffusion-based Image Augmentation for Data-scarce Classification |
29 Aug 2024 |
scuwyh2000/diff-ii/randaugment.py 7b4e3d0bd192b677 |
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| Unsupervised Domain Adaption Harnessing Vision-Language Pre-training |
5 Aug 2024 |
Wenlve-Zhou/VLP-UDA/utils/randaugment.py 7b4e3d0bd192b677 |
unverified |
MIT (permissive) |
| OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding |
11 Jun 2024 |
minghu0830/ophnet-benchmark/baselines/task2/backbone/videomaev2/dataset/rand_augment.py e866e1196986f728 |
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MIT (permissive) |
| Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes |
9 May 2024 |
ModelTC/FCPTS/train/randaug.py e866e1196986f728 |
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| Spiking Wavelet Transformer |
17 Mar 2024 |
bic-l/spiking-wavelet-transformer/cifar10-100/aa_snn.py b31e84df5541213a |
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| EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba |
15 Mar 2024 |
terrypei/efficientvmamba/classification/lib/dataset/augment_ops.py 8eaf53b48155177c |
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| Probabilistic Contrastive Learning for Long-Tailed Visual Recognition |
11 Mar 2024 |
leaplabthu/proco/ProCo/randaugment.py 7b4e3d0bd192b677 |
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Apache-2.0 (permissive) |
| ReViT: Enhancing Vision Transformers Feature Diversity with Attention Residual Connections |
17 Feb 2024 |
adiko1997/revit/dataset/rand_augment.py e866e1196986f728 |
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MIT (permissive) |
| Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket |
4 Jan 2024 |
zk-zhou/spikformer/cifar10/aa_snn.py b31e84df5541213a |
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MIT (permissive) |
| CR-SAM: Curvature Regularized Sharpness-Aware Minimization |
21 Dec 2023 |
trustaiot/cr-sam/utils/autoaugment.py 53613a740588d619 |
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| From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in Videos |
9 Dec 2023 |
FER-LMC/S2D/datasets/rand_augment.py e866e1196986f728 |
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Apache-2.0 (permissive) |
| Typhoon Intensity Prediction with Vision Transformer |
28 Nov 2023 |
chen-huanxin/Tint/data_augmentation/auto_augment.py 53613a740588d619 |
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| IPMix: Label-Preserving Data Augmentation Method for Training Robust Classifiers |
7 Oct 2023 |
hzlsaber/IPMix/cifar.py 7dbf6f8a2088e9be |
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MIT (permissive) |
| Make the U in UDA Matter: Invariant Consistency Learning for Unsupervised Domain Adaptation |
22 Sep 2023 |
yue-zhongqi/ICON/icon/randaugment.py 7b4e3d0bd192b677 |
unverified |
MIT (permissive) |
| Prune Spatio-temporal Tokens by Semantic-aware Temporal Accumulation |
8 Aug 2023 |
mark12ding/sta/rand_augment.py e866e1196986f728 |
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BSD-2-Clause (permissive) |
| Video-FocalNets: Spatio-Temporal Focal Modulation for Video Action Recognition |
13 Jul 2023 |
talalwasim/video-focalnets/datasets/rand_augment.py e866e1196986f728 |
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| Reversible Vision Transformers |
9 Feb 2023 |
facebookresearch/mvit/mvit/datasets/rand_augment.py e866e1196986f728 |
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| Fine-tuned CLIP Models are Efficient Video Learners |
6 Dec 2022 |
muzairkhattak/vifi-clip/datasets/rand_augment.py e866e1196986f728 |
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MIT (permissive) |
| AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning with Masked Autoencoders |
16 Nov 2022 |
wgcban/adamae/rand_augment.py e866e1196986f728 |
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MIT (permissive) |
| Self-Supervision Can Be a Good Few-Shot Learner |
19 Jul 2022 |
bbbdylan/unisiam/transform/rand_augmentation.py 7b4e3d0bd192b677 |
unverified |
MIT (permissive) |
| ST-Adapter: Parameter-Efficient Image-to-Video Transfer Learning |
27 Jun 2022 |
linziyi96/st-adapter/video_dataset/rand_augment.py e866e1196986f728 |
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MIT (permissive) |
| Mugs: A Multi-Granular Self-Supervised Learning Framework |
27 Mar 2022 |
sail-sg/mugs/src/RandAugment.py e866e1196986f728 |
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Apache-2.0 (permissive) |
| Swin Transformer V2: Scaling Up Capacity and Resolution |
18 Nov 2021 |
nku-shengzheliu/PaddlePaddle-Swin-Transformer-V2/auto_augment.py e0254103b7a7465f |
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Apache-2.0 (permissive) |
| Masked Autoencoders Are Scalable Vision Learners |
11 Nov 2021 |
yangyucheng000/mae/src/datasets/auto_augment.py 836abfc1dec21f54 |
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Apache-2.0 (permissive) |
| Masked Autoencoders Are Scalable Vision Learners |
11 Nov 2021 |
yongyupei/papers_with_examps/mae/src/process_datasets/auto_augment.py 328334d15e09e000 |
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Apache-2.0 (permissive) |
| MEMO: Test Time Robustness via Adaptation and Augmentation |
18 Oct 2021 |
kowshikthopalli/sista/SISTA_DA/image_target_memo.py 4e80aa228ea65fb6 |
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| CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation |
13 Sep 2021 |
cdtrans/cdtrans/datasets/autoaugment.py ec44d1cea891fdb3 |
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MIT (permissive) |
| RepNAS: Searching for Efficient Re-parameterizing Blocks |
8 Sep 2021 |
bestfleer/RepNAS/utils/auto_augment.py b31e84df5541213a |
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MIT (permissive) |
| Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain |
19 Aug 2021 |
iCGY96/APR/datasets/APR.py 417bb83cee1eb445 |
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MIT (permissive) |
| Diverse Gaussian Noise Consistency Regularization for Robustness and Uncertainty Calibration |
2 Apr 2021 |
theot1/dign/DiGN.py 8baad92985baea5d |
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MIT (permissive) |
| The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization |
29 Jun 2020 |
hendrycks/imagenet-r/deepfashion_remix/augmix.py 8b301c76d5b96b5f |
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MIT (permissive) |
| AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty |
5 Dec 2019 |
google-research/augmix/augment_and_mix.py 1020c7cab8402b62 |
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Apache-2.0 (permissive) |
| AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty |
5 Dec 2019 |
ma7555/Augz/augmix.py 0aa9d6add4980494 |
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| AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty |
5 Dec 2019 |
Kaushal28/Bengali-AI/src/dataset.py 6e3bb2bc13b0e703 |
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| Faster AutoAugment: Learning Augmentation Strategies using Backpropagation |
16 Nov 2019 |
moskomule/dda/dda/functional.py 90f7118023305b3b |
unverified |
MIT (permissive) |
| Faster AutoAugment: Learning Augmentation Strategies using Backpropagation |
16 Nov 2019 |
moskomule/dda/dda/pil.py 1bcc85675f7606d4 |
unverified |
MIT (permissive) |
| RandAugment: Practical automated data augmentation with a reduced search space |
30 Sep 2019 |
lyxxn0414/test-data-generation/auto_augment.py 7fad25ebc151a21a |
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| Once-for-All: Train One Network and Specialize it for Efficient Deployment |
26 Aug 2019 |
pprp/ofa-cifar/ofa/imagenet_classification/data_providers/cifar10.py 3c5071b8a3d0e038 |
unverified |
MIT (permissive) |
| All You Need is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification |
13 Mar 2019 |
hikvision-research/SparseShiftLayer/models/auto_augment.py 53613a740588d619 |
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Apache-2.0 (permissive) |
| Graph-Based Global Reasoning Networks |
30 Nov 2018 |
yangyucheng000/glore_res200/src/transform_utils.py 8eaf53b48155177c |
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Apache-2.0 (permissive) |
| AutoAugment: Learning Augmentation Policies from Data |
24 May 2018 |
4uiiurz1/pytorch-auto-augment/auto_augment.py 53613a740588d619 |
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MIT (permissive) |
| arXiv:ijcai2025_0115 |
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Gwxer/Hierarchical-Adapter/datasets/rand_augment.py e866e1196986f728 |
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MIT (permissive) |
| arXiv:136950157 |
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kami93/kcenter_video/kcenter_transformer/datasets/autoaugment.py 7b4e3d0bd192b677 |
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Apache-2.0 (permissive) |
| arXiv:136850478 |
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leo-gb/UMA/ccs_training/models/autoaugment_v2.py ec44d1cea891fdb3 |
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MIT (permissive) |