rain305f / TIDA
[NeurIPS 2023] Discover and Align Taxonomic Context Priors for Open-world Semi-Supervised Learning
☆15Updated 6 months ago
Related projects ⓘ
Alternatives and complementary repositories for TIDA
- Official implementation of "Towards Distribution-Agnostic Generalized Category Discovery" (NIPS 2023)☆24Updated last year
- ☆32Updated 8 months ago
- Official Implementation of paper: PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery…☆40Updated last year
- Pytorch implementation for "Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning" (ICML 2024)☆15Updated last month
- The official repository for ICLR2024 paper "SPTNet: An Efficient Alternative Framework for Generalized Category Discovery with Spatial Pr…☆23Updated 4 months ago
- "Towards Realistic Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah (ECCV 2022)☆38Updated last year
- (ICCV 2023) Parametric Classification for Generalized Category Discovery: A Baseline Study☆92Updated 10 months ago
- [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"☆61Updated 3 months ago
- [CVPR 2023] Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning☆21Updated last year
- Official implementation of PCS in essay "Prompt Vision Transformer for Domain Generalization"☆51Updated last year
- A Unified Continual Learning Framework with General Parameter-Efficient Tuning, ICCV 2023 [PyTorch Code]☆69Updated last month
- Official code for CVPR 2024 paper "Active Generalized Category Discovery"☆31Updated 3 weeks ago
- [AAAI 2024] SVDP: Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction☆24Updated 6 months ago
- [ICLR 2024] ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation☆52Updated 6 months ago
- ☆50Updated 2 years ago
- PyTorch implementation of our CVPR 2024 paper "Unified Entropy Optimization for Open-Set Test-Time Adaptation"☆17Updated 2 months ago
- Code for "BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation [ICML2024]".☆37Updated 4 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
- 【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning☆56Updated 3 months ago
- [NeurIPS 2023] Generalized Logit Adjustment☆34Updated 6 months ago
- Official Implementation of LADS (Latent Augmentation using Domain descriptionS)☆49Updated last year
- The official codes of our CVPR-2023 paper: Sharpness-Aware Gradient Matching for Domain Generalization☆66Updated last year
- [NeurIPS 2022] Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering☆45Updated last year
- Official Implementation of Curriculum of Data Augmentation for Long-tailed Recognition (CUDA) (ICLR'23 Spotlight)☆20Updated last year
- Code for the paper: "Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning"☆24Updated 3 years ago
- WACV 2022☆9Updated 2 years ago
- CVPR2023:Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection☆26Updated last year
- [ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"☆20Updated 2 weeks ago
- Test-time adaptation via Nearest neighbor information (TAST), submitted to ICLR'23☆19Updated last year
- ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection☆19Updated 6 months ago