shiyuanh / TANE
Code Repository for "Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition"
☆26Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for TANE
- Forward Compatible Few-Shot Class-Incremental Learning (CVPR'22)☆116Updated last year
- [CVPR 2023] Glocal Energy-based Learning for Few-Shot Open-Set Recognition☆36Updated last year
- The code repository for "Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks" (TPAMI 2023) in PyTorch.☆35Updated 11 months ago
- Official implementation of CVPR 2023 paper Few-Shot Class-Incremental Learning via Class-Aware Bilateral Distillation.☆32Updated last year
- [CVPR 2021] Few-shot Open-set Recognition by Transformation Consistency☆23Updated 3 years ago
- ☆58Updated last year
- Learning Placeholders for Open-Set Recognition (CVPR'21 Oral)☆77Updated 3 years ago
- [TPAMI 2022] Adversarial Reciprocal Points Learning for Open Set Recognition☆150Updated last year
- [ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class…☆82Updated last year
- ☆11Updated last year
- Pytorch code for CVPR2021 paper "Few-Shot Incremental Learning with Continually Evolved Classifiers"☆152Updated 3 years ago
- Universal Representation Learning from Multiple Domains for Few-shot Classification - ICCV 2021, Cross-domain Few-shot Learning with Task…☆127Updated 8 months ago
- The code repository for "Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration" (NeurIPS'23) in PyTorch☆37Updated 9 months ago
- Code for our NeurIPS 2021 paper 'Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation'☆70Updated last year
- ☆32Updated last year
- ☆17Updated last year
- [TPAMI2022] Class Specific Semantic Reconstruction for Open Set Recognition☆38Updated 11 months ago
- Official implementation of the paper "Rethinking Generalization in Few-Shot Classification" [NeurIPS 2022]☆57Updated last year
- [CVPR 2023] Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning☆65Updated 8 months ago
- "OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Salman Khan,…☆32Updated last year
- ☆28Updated last year
- 📝 🎉 A curated list of awesome papers for incremental learning with pre-trained models☆47Updated 9 months ago
- [CVPR2023] Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions☆71Updated last year
- [IJCAI 2021 & AIJ 2023] Cross-Domain Few-Shot Classification via Adversarial Task Augmentation☆61Updated last year
- The official implementation for ECCV22 paper: "FOSTER: Feature Boosting and Compression for Class-Incremental Learning" in PyTorch.☆51Updated last year
- PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"☆104Updated last year
- code for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"☆113Updated last year
- [CVPR 2023] Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery☆22Updated 10 months ago
- [ICLR 2023] The Devil is in the Wrongly-classified Samples: Towards Unified Open-set Recognition☆28Updated last year
- The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning"(CVPR24) in PyTorch.☆56Updated 2 months ago