Visual-AI / Dissect-OOD-OSRLinks
[IJCV 2024] Dissecting Out-of-Distribution Detection and Open-Set Recognition: A Critical Analysis of Methods and Benchmarks
☆14Updated last year
Alternatives and similar repositories for Dissect-OOD-OSR
Users that are interested in Dissect-OOD-OSR are comparing it to the libraries listed below
Sorting:
- Code for the paper: "Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning"☆25Updated 4 years ago
- This code accompanies the paper "Parameter-free Online Test-time Adaptation".☆76Updated 3 years ago
- Official Implementation of paper: PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery…☆44Updated 2 years ago
- [ICLR 2022] Open-World Semi-Supervised Learning☆105Updated 3 years ago
- Repository for the paper `DASO: Distribution-Aware Semantics-Oriented Pseudo-label Imbalanced Semi-Supervised Learning'.☆73Updated 3 years ago
- [ICLR2025] HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain Shifts☆20Updated 3 months ago
- ☆40Updated last year
- Official PyTorch implementation of CVPRW 2022 paper "Attention Consistency on Visual Corruptions for Single-Source Domain Generalization"☆28Updated 2 years ago
- the code for paper "Energy-Based Open-World Uncertainty Modeling for Confidence Calibration"☆41Updated 4 years ago
- ☆34Updated 3 years ago
- Code for ComEx (CVPR 2022)☆11Updated 2 years ago
- An open-world scenario domain generalization code base☆27Updated 2 years ago
- "OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Salman Khan,…☆36Updated 2 years ago
- Evaluation of semi-supervised learning on challenging datasets☆38Updated 3 years ago
- Benchmarks for semi-supervised domain generalization.☆72Updated 3 years ago
- Code for Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning (NeurIPS 2022).☆42Updated 3 years ago
- [NeurIPS] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆72Updated 3 years ago
- [ICCV 2023] Bayesian Prompt Learning for Image-Language Model Generalization☆37Updated 2 years ago
- "Towards Realistic Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah (ECCV 2022)☆41Updated 2 years ago
- A code framework for implementing UniDA☆24Updated 2 years ago
- Official code for "Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models" (TCSVT'2023)☆28Updated last year
- (ICCV 2023) Parametric Classification for Generalized Category Discovery: A Baseline Study☆120Updated last year
- Official Implementation of LADS (Latent Augmentation using Domain descriptionS)☆52Updated 2 years ago
- ☆19Updated 3 years ago
- [ICCV 2023 Oral] IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization☆54Updated last year
- [ICLR2024] SPTNet: An Efficient Alternative Framework for Generalized Category Discovery with Spatial Prompt Tuning☆35Updated 7 months ago
- (CVPR 2023) Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning☆30Updated 2 years ago
- LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections (NeurIPS 2023)☆29Updated last year
- Official repository of CVPR '22 paper "Contrastive Test-Time Adaptation"☆104Updated 3 years ago
- NN 2023☆23Updated 3 years ago