roomo7time / nnguide
Code for ICCV 2023 paper "Nearest Neighbor Guidance for Out-of-Distribution Detection"
☆20Updated last year
Alternatives and similar repositories for nnguide:
Users that are interested in nnguide are comparing it to the libraries listed below
- PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023☆57Updated last year
- This is official code repository for "Learning with Mixture of Prototypes for Out-of-Distribution Detection", accepted at ICLR2024☆24Updated 5 months ago
- ☆17Updated 8 months ago
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆43Updated last year
- PyTorch implementation of our CVPR2023 paper "OpenMix: Exploring Out-of-Distribution samples for Misclassification Detection"☆23Updated last year
- Official PyTorch(MMCV) implementation of “Adversarial AutoMixup” (ICLR 2024 spotlight)☆64Updated 2 months ago
- [NeurIPS 2023] "Learning to Augment Distributions for Out-of-distribution Detection"☆12Updated last year
- (CVPR 2023) Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning☆28Updated last year
- ☆25Updated last year
- Twin Contrastive Learning with Noisy Labels (CVPR 2023)☆69Updated last year
- Paper of out of distribution detection and generalization☆55Updated last year
- ☆29Updated last year
- [CVPR 2024] PriViLege: Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners☆46Updated 4 months ago
- Code for ECCV 2022 paper "DICE: Leveraging Sparsification for Out-of-Distribution Detection"☆40Updated 2 years ago
- [WACV'23] Mixture Outlier Exposure for Out-of-Distribution Detection in Fine-grained Environments☆26Updated last year
- A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)☆40Updated last year
- Official implementation for paper titled "Warping the Space: Weight Space Rotation for Class-Incremental Few-Shot Learning" accepted at I…☆14Updated 7 months ago
- [ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"☆18Updated last year
- Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"☆52Updated 2 years ago
- Implementation of Learning without Prejudices: Continual Unbiased Learning via Benign and Malignant Forgetting (ICLR 2023)☆12Updated last year
- ☆21Updated 2 years ago
- This is the official PyTorch Implementation of "SoTTA: Robust Test-Time Adaptation on Noisy Data Streams (NeurIPS '23)" by Taesik Gong*, …☆20Updated 9 months ago
- ☆47Updated last year
- (NeurIPS 2022) Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty☆33Updated 9 months ago
- The official implementation of CVPR 24' Paper "Learning Transferable Negative Prompts for Out-of-Distribution Detection"☆48Updated 9 months ago
- PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022☆28Updated last year
- ☆17Updated 3 years ago
- Self-Contrastive Learning: Single-viewed Supervised Contrastive Framework using Sub-network (AAAI 2023)☆20Updated last year
- Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023☆29Updated last year
- CLEAR benchmark (NeurIPS 2021 Dataset & Benchmark)☆24Updated last year