daintlab / unknown-detection-benchmarks
☆12Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for unknown-detection-benchmarks
- A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)☆40Updated last year
- [WACV'23] Mixture Outlier Exposure for Out-of-Distribution Detection in Fine-grained Environments☆25Updated last year
- Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"☆51Updated 2 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆53Updated 2 years ago
- ☆53Updated 2 years ago
- [AAAI 2024] An Implementation of Entropic Open-set Active Learning☆19Updated 6 months ago
- PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023☆54Updated last year
- ☆58Updated last year
- [NeurIPS 2023] A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm☆34Updated 11 months ago
- Confidence-Aware Learning for Deep Neural Networks (ICML2020)☆72Updated 4 years ago
- A pytorch implementation for "Neighborhood Collective Estimation for Noisy Label Identification and Correction", which is accepted by ECC…☆24Updated last year
- Co^2L: Contrastive Continual Learning (ICCV2021)☆90Updated 2 years ago
- Learning Placeholders for Open-Set Recognition (CVPR'21 Oral)☆78Updated 3 years ago
- PyTorch implementation of our CVPR2023 paper "OpenMix: Exploring Out-of-Distribution samples for Misclassification Detection"☆23Updated last year
- ☆25Updated 2 years ago
- (AAAI 2021) Split-and-Bridge: Adaptable Class Incremental Learning within a Single Neural Network☆24Updated 3 years ago
- Code for our CVPR 2022 workshop paper "Towards Exemplar-Free Continual Learning in Vision Transformers"☆21Updated 2 years ago
- ☆44Updated 3 years ago
- ☆35Updated 3 years ago
- A PyTorch framework for Continual Learning research.☆20Updated 11 months ago
- pytorch implementation of ABC : Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning☆36Updated this week
- Official implementation of "Open-set Label Noise Can Improve Robustness Against Inherent Label Noise" (NeurIPS 2021)☆19Updated 2 years ago
- This is the official repository for the paper "A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutio…☆60Updated 2 years ago
- We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness o…☆56Updated 2 years ago
- This repository contains code for the paper "Imbalanced Semi-supervised Learning with Bias Adaptive Classifier", published at ICLR 2023.☆18Updated last year
- Look-Ahead Data Acquisition via Augmentation for Deep Active Learning (NeurIPS 2021)☆14Updated 6 months ago
- ☆45Updated last year
- Code for ECCV 2022 paper "DICE: Leveraging Sparsification for Out-of-Distribution Detection"☆39Updated 2 years ago
- ☆16Updated 2 years ago
- CVPR2021: Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces☆22Updated 3 years ago