This is a summary of research on All-In-One Image/Video Restoration. There may be omissions. If anything is missing please get in touch with us. Our emails: [email protected]; gouyuanbiao@gmail.…

This is a summary of research on noisy correspondence. There may be omissions. If anything is missing please get in touch with us. Our emails: [email protected] [email protected] qinyang.gm…

📝 🎉 A curated list of awesome papers for incremental learning with pre-trained models

Awesome Incremental Learning

Code of Distribution Alignment Optimization through Neural Collapse for Long-tailed Classification

An awesome paper list of Semi-Supervised Learning under realistic settings.

A PyTorch-based library for semi-supervised learning (NeurIPS'21)

Awesome-Representation-Learning-CV-PaperAndCodes, lasted development in the representation learning area.

A curated list of most recent papers & codes in Learning with Partial/Complementary Labels

OpenMMLab Pre-training Toolbox and Benchmark

PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"

[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

Source code of the paper "Unsupervised Sentence Representation Learning with Frequency-induced Adversarial Tuning and Incomplete Sentence Filtering"

Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)

code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"

A curated list of research papers in Sentence Reprsentation Learning and a sts leaderboard of sentence embeddings.

An efficient implicit semantic augmentation method, complementary to existing non-semantic techniques.

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

A curated list for awesome self-supervised learning for graphs.

A curated (most recent) list of resources for Learning with Noisy Labels

[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

(CVPR 2022) Energy-based Latent Aligner for Incremental Learning

A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.

Paper List for Contrastive Learning for Natural Language Processing

Robust machine learning for responsible AI

cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理