ood-detection
There are 91 repositories under ood-detection topic.
huytransformer/Awesome-Out-Of-Distribution-Detection
Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, books, videos, articles and open-source libraries etc
Jingkang50/OODSurvey
The Official Repository for "Generalized OOD Detection: A Survey"
kkirchheim/pytorch-ood
👽 Out-of-Distribution Detection with PyTorch
ldkong1205/RoboDepth
[NeurIPS 2023] RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions
tianyu0207/PEBAL
[ECCV'22 Oral] Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes
xmed-lab/CLIPN
ICCV 2023: CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No
yyliu01/RPL
[ICCV'23] Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation
Cogito2012/DEAR
[ICCV 2021 Oral] Deep Evidential Action Recognition
dvlab-research/MOOD
Official PyTorch implementation of MOOD series: (1) MOODv1: Rethinking Out-of-distributionDetection: Masked Image Modeling Is All You Need. (2) MOODv2: Masked Image Modeling for Out-of-Distribution Detection.
megvii-research/FSSD_OoD_Detection
[SafeAI'21] Feature Space Singularity for Out-of-Distribution Detection.
dlmacedo/entropic-out-of-distribution-detection
A project to add scalable state-of-the-art out-of-distribution detection (open set recognition) support by changing two lines of code! Perform efficient inferences (i.e., do not increase inference time) and detection without classification accuracy drop, hyperparameter tuning, or collecting additional data.
jfc43/robust-ood-detection
Robust Out-of-distribution Detection in Neural Networks
Jingkang50/ICCV21_SCOOD
The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.
jfc43/informative-outlier-mining
We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness of OOD detection to various types of adversarial OOD inputs and establishes state-of-the-art performance.
miniHuiHui/awesome-out-of-distribution-detection
Paper of out of distribution detection and generalization
shyam671/Mask2Anomaly-Unmasking-Anomalies-in-Road-Scene-Segmentation
[ICCV'23 Oral] Unmasking Anomalies in Road-Scene Segmentation
lancopku/well-classified-examples-are-underestimated
Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"
dlmacedo/distinction-maximization-loss
A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in your project! Perform efficient inferences (i.e., do not increase inference time) without repetitive model training, hyperparameter tuning, or collecting additional data.
sayakpaul/Generalized-ODIN-TF
TensorFlow 2 implementation of the paper Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data (https://arxiv.org/abs/2002.11297).
MengyuanChen21/ICLR2024-REDL
[ICLR 2024 Spotlight] R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning
Lingkai-Kong/Calibrated-BERT-Fine-Tuning
Code for Paper: Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data
MengyuanChen21/NeurIPS2024-CSP
[NeurIPS 2024] Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models
thudzj/ScalableBDL
Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"
linhaowei1/TPL
✌[ICLR 2024] Class Incremental Learning via Likelihood Ratio Based Task Prediction
CVMI-Lab/SyncOOD
(ECCV 2024) Can OOD Object Detectors Learn from Foundation Models?
kobybibas/pnml_ood_detection
Out-of-distribution detection using the pNML regret. NeurIPS2021
nktoan/Causal-Inference-via-Style-Transfer-for-OOD-Generalisation
[KDD 2023] Causal Inference via Style Transfer for Out-of-distribution Generalisation
gist-ailab/block-selection-for-OOD-detection
This is an official implementation for "Block Selection Method for Using Feature Norm in Out-of-distribution Detection", CVPR 2023.
XueJiang16/NegLabel
[ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"
LIYangggggg/SSB-OSR
PyTorch Implementation of ECCV 2024 OOD-CV Workshop SSB Challenge (Open-Set Recognition Track) - 1st Place
AndrewZhou924/graph-ood-detection
A curated list of resources for OOD detection with graph data.
lancopku/Avg-Avg
[Findings of EMNLP 2022] Holistic Sentence Embeddings for Better Out-of-Distribution Detection
nktoan/risk-distribution-matching
[WACV 2024] Domain Generalisation via Risk Distribution Matching
ZFancy/Unleashing-Mask
[ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"
cure-lab/DiffGuard
[ICCV 2023] The official implementation of paper "DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models"
dlmacedo/robust-deep-learning
A project to train your model from scratch or fine-tune a pretrained model using the losses provided in this library to improve out-of-distribution detection and uncertainty estimation performances. Calibrate your model to produce enhanced uncertainty estimations. Detect out-of-distribution data using the defined score type and threshold.