Alternatives and similar repositories for DLSA:

Users that are interested in DLSA are comparing it to the libraries listed below

• happywu / CycleContrast
  Contrastive Learning of Image Representations with Cross-Video Cycle-Consistency
  ☆17Updated 3 years ago
• NVlabs / RelViT
  [ICLR 2022] RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning
  ☆64Updated 2 years ago
• BeierZhu / xERM
  [AAAI 2022 Oral] This is a Pytorch implementation of the AAAI 2022 paper "Cross-Domain Empirical Risk Minimization for Unbiased Long-tail…
  ☆33Updated 3 years ago
• liruiw / Dec-SSL
  Understanding Self-Supervised Learning in a non-IID Setting
  ☆20Updated 2 years ago
• donglixp / ICL_PaperList
  Paper List for In-context Learning 🌷
  ☆20Updated 2 years ago
• guxiao0822 / LT-DS
  [ECCV 2022] Tackling Long-Tailed Category Distribution Under Domain Shifts
  ☆18Updated 2 years ago
• Luodian / GenBench
  Benchmarking and Analyzing Generative Data for Visual Recognition
  ☆26Updated last year
• facebookresearch / PLRC
  Code for Point-Level Regin Contrast (https//arxiv.org/abs/2202.04639)
  ☆34Updated 2 years ago
• EPFL-VILAB / XDEnsembles
  Robustness via Cross-Domain Ensembles, ICCV 2021 [Oral]
  ☆38Updated 3 years ago
• learn2phoenix / cvpr22_vplow_ow
  ☆12Updated last year
• neu-vi / Diag-HOI
  ☆24Updated last year
• naver / cog
  ImageNet-CoG is a benchmark for concept generalization. It provides a full evaluation framework for pre-trained visual representations wh…
  ☆24Updated 3 years ago
• cyysc1998 / 3D-Pretraining
  Self-supervised Point Cloud Representation Learning via Separating Mixed Shapes
  ☆19Updated last year
• GAIA-vision / GAIA-ssl
  ☆18Updated 2 years ago
• cvl-umass / contrast-landmark
  Unsupervised object landmark discovery @ ICCV 21
  ☆26Updated 3 years ago
• CVMI-Lab / clip-beyond-tail
  (NeurIPS 2024) What Makes CLIP More Robust to Long-Tailed Pre-Training Data? A Controlled Study for Transferable Insights
  ☆24Updated 3 months ago
• Wangt-CN / EqInv
  [ECCV2022] The PyTorch implementation of paper "Equivariance and Invariance Inductive Bias for Learning from Insufficient Data"
  ☆18Updated 2 years ago
• pals-ttic / adapting-CLIP
  ☆64Updated last year
• NVlabs / causal_comp
  ☆22Updated 2 years ago
• xvjiarui / IMProv
  IMProv: Inpainting-based Multimodal Prompting for Computer Vision Tasks
  ☆59Updated 4 months ago
• Angtian / OccludedPASCAL3D
  The OccludedPASCAL3D+ is a dataset generated via superimposing occluder to PASCAL3D+ dataset for multiple computer vision tasks.
  ☆25Updated 2 years ago
• BinahHu / ADE-FewShot
  ☆11Updated 3 years ago
• Simon4Yan / Accuracy-estimation-with-self-supervision
  [ICML'21] Estimate the accuracy of the classifier in various environments through self-supervision
  ☆27Updated 3 years ago
• OVAD-Benchmark / ovad-benchmark-code
  OVAD: Open-vocabulary Attribute Detection code
  ☆29Updated last year
• pi-umd / open_world_vision
  ☆9Updated 3 years ago
• StevenGrove / vtpack
  code base for vision transformers
  ☆36Updated 3 years ago
• VamosC / CoLearning-meet-StitchUp
  [TIP 2023] Co-Learning Meets Stitch-Up for Noisy Multi-label Visual Recognition.
  ☆13Updated last year
• TencentARC / TaCA
  Official code for the paper, "TaCA: Upgrading Your Visual Foundation Model with Task-agnostic Compatible Adapter".
  ☆16Updated last year
• geehokim / Combinatorial-Inference
  (NeurIPS 2019) Combinatorial Inference against Label Noise
  ☆11Updated 8 months ago
• yuPeiyu98 / Deep-Region-Competition
  [NeurIPS 2021] Unsupervised Foreground Extraction via Deep Region Competition
  ☆42Updated 3 years ago