YiXXin / XConLinks
XCon: Learning with Experts for Fine-grained Category Discovery
☆17Updated 2 years ago
Alternatives and similar repositories for XCon
Users that are interested in XCon are comparing it to the libraries listed below
Sorting:
- Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation. Bingchen Zhao and Kai Han. (NeurIPS 2021)☆12Updated last year
- [CVPR 2022] "The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy" by Tianlong C…☆25Updated 3 years ago
- Official Pytorch Implementation of: "Semantic Diversity Learning for Zero-Shot Multi-label Classification"(ICCV, 2021) paper☆30Updated 2 years ago
- Learning from Limited and Imperfect Data (L2ID): Classification Challenges☆18Updated 4 years ago
- Official PyTorch Implementation of "CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning" (CVPR 20…☆53Updated 2 years ago
- Code release for "Making a Bird AI Expert Work for You and Me (TPAMI 2023)".☆16Updated 2 years ago
- Few-shot learning with mislabeled support samples☆43Updated 2 years ago
- Exploring Hierarchical Graph Representation for Large-Scale Zero-Shot Image Classification. ECCV 2022.☆18Updated 3 years ago
- Code for: Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification☆27Updated 2 months ago
- ☆18Updated 2 years ago
- [MIDL 2023] Official Imeplementation of "Making Your First Choice: To Address Cold Start Problem in Vision Active Learning"☆35Updated last year
- CVPR2022: Meta-attention for ViT-backed Continual Learning☆34Updated 2 years ago
- [ICLR 2023] “ Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Better Representations”, Ziyu Jian…☆24Updated 2 years ago
- This repository includes the official project of L2B, from our paper "Learning to Bootstrap for Combating Label Noise".☆33Updated 4 months ago
- [NeurIPS 2021] “Improving Contrastive Learning on Imbalanced Data via Open-World Sampling”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangya…☆28Updated 3 years ago
- [ICCV 2023 Oral] IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization☆49Updated last year
- Rethinking Nearest Neighbors for Visual Classification☆31Updated 3 years ago
- [TPAMI 2023] Generative Multi-Label Zero-Shot Learning☆52Updated 2 years ago
- Code for the paper: "Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning"☆25Updated 3 years ago
- Official code for "Mean Shift for Self-Supervised Learning"☆57Updated 3 years ago
- ☆31Updated 3 years ago
- The Curious Layperson: Fine-Grained Image Recognition without Expert Labels (BMVC 2021 best student paper)☆23Updated 3 years ago
- Evaluation of semi-supervised learning on challenging datasets☆37Updated 3 years ago
- Code for ICML 2023 paper "When and How Does Known Class Help Discover Unknown Ones? Provable Understandings Through Spectral Analysis"☆13Updated 2 years ago
- Code for ComEx (CVPR 2022)☆11Updated 2 years ago
- ☆25Updated last year
- [TPAMI 2023] Official implementation of Introspective Deep Metric Learning.☆56Updated last year
- An official implementation of Cl-InfoNCE☆14Updated 3 years ago
- Code for the Paper Learning Hierarchy Aware Features for Reducing Mistake Severity, accepted in ECCV 2022☆15Updated 2 years ago
- Code release for "Clue Me In: Semi-Supervised FGVC with Out-of-Distribution Data".☆13Updated 3 years ago