ood-detection

There are 2 repositories under ood-detection topic.

continuousml / Awesome-Out-Of-Distribution-Detection
A professionally curated list of papers, tutorials, books, videos, articles and open-source libraries etc for Out-of-distribution detection, robustness, and generalization
awesome deep-learning distribution distribution-shift machine ood ood-detection ood-generalization out-of-distribution out-of-distribution-detection out-of-distribution-generalization python robustness open-world open-world-learning generalization awesome-list
551
Jingkang50 / OODSurvey
The Official Repository for "Generalized OOD Detection: A Survey"
anomaly-detection novelty-detection ood-detection open-set-recognition out-of-distribution-detection outlier-detection
Language:Jupyter Notebook 428
ldkong1205 / RoboDepth
[NeurIPS 2023] RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions
autonomous-driving depth-estimation ood-detection robustness
Language:Python 246
kkirchheim / pytorch-ood
👽 Out-of-Distribution Detection with PyTorch
anomaly-detection confidence-estimation deep-learning neural-network novelty-detection ood-detection open-set-recognition pytorch
Language:Python 205
tianyu0207 / PEBAL
[ECCV'22 Oral] Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes
anomaly-detection cityscapes deep-learning ood-detection pytorch semantic-segmentation
Language:Python 139
yyliu01 / RPL
[ICCV'23] Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation
anomaly-detection anomaly-segmentation iccv2023 ood-detection
Language:Python 138
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.
cvpr2023 masked-image-modeling ood-detection outlier-detection pytorch
Language:Python 131
Cogito2012 / DEAR
[ICCV 2021 Oral] Deep Evidential Action Recognition
action-recognition openset-recognition video-understanding uncertainty-quantification evidential-deep-learning debiasing model-calibration ood-detection
Language:Python 115
xmed-lab / CLIPN
ICCV 2023: CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No
clip iccv2023 ood-detection unsupervised-prompt-learning zero-shot
Language:Python 101
megvii-research / FSSD_OoD_Detection
Feature Space Singularity for Out-of-Distribution Detection. (SafeAI 2021)
ood-detection anomaly-detection ai-safety out-of-distribution-detection anomaly
Language:Python 80
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.
pytorch deep-learning out-of-distribution-detection out-of-distribution machine-learning trustworthy-ai ai-safety anomaly-detection novelty-detection robust-machine-learning trustworthy-machine-learning ood ood-detection osr open-set-recognition open-set
Language:Python 75
jfc43 / robust-ood-detection
Robust Out-of-distribution Detection in Neural Networks
adversarial-attacks machine-learning ood-detection
Language:Python 68
Jingkang50 / ICCV21_SCOOD
The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.
computer-vision out-of-distribution-detection ood ood-detection model-robustness out-of-distribution
Language:Python 68
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.
informative-outlier-mining ood-detection robustness
Language:Python 52
miniHuiHui / awesome-out-of-distribution-detection
Paper of out of distribution detection and generalization
ood ood-detection out-of-distribution-detection
50
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.
classification deep-learning machine-learning open-set-recognition out-of-distribution-detection pytorch robust-machine-learning trustworthy-ai trustworthy-machine-learning uncertainty-estimation ai-safety anomaly-detection novelty-detection ood ood-detection open-set osr out-of-distribution
Language:Python 45
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).
tensorflow2 ood-detection vision robustness keras
Language:Jupyter Notebook 43
luping-liu / DiffOOD
The official implementation for Diffusion Denoising Process for Perceptron Bias in Out-of-distribution Detection (DiffOOD)
diffusion-models ood-detection pytorch
Language:Python 41
Lingkai-Kong / Calibrated-BERT-Fine-Tuning
Code for Paper: Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data
calibration language-model uncertainty-quantification uncertainty-estimation bert open-world-classification robustness text-classification ood-detection deep-learning nlp-machine-learning nlp
Language:Python 35
shyam671 / Mask2Anomaly-Unmasking-Anomalies-in-Road-Scene-Segmentation
[ICCV'23 Oral] Unmasking Anomalies in Road-Scene Segmentation
anomaly-detection iccv2023 mask-classification ood-detection ood-robustness out-of-distribution-detection segmentation semantic-segmentation transformers unknown-segmentation
Language:Python 35
lancopku / well-classified-examples-are-underestimated
Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"
deep-learning classification cross-entropy-loss image-classification graph-neural-networks transformer imbalanced-learning ood-detection adversarial-attacks
Language:Jupyter Notebook 33
thudzj / ScalableBDL
Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"
bayesian-deep-learning bayesian-neural-networks fine-tuning uncertainty-quantification adversarial-detection ood-detection
Language:Python 30
kobybibas / pnml_ood_detection
Out-of-distribution detection using the pNML regret. NeurIPS2021
deep-learning ood-detection python pytorch pytorch-lightning ood neurips-2021
Language:Jupyter Notebook 23
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".
featurenorm ood-detection
Language:Python 19
linhaowei1 / TPL
✌[ICLR 2024] Class Incremental Learning via Likelihood Ratio Based Task Prediction
class-incremental-learning continual-learning likelihood-ratio-test ood-detection
Language:Python 19
MengyuanChen21 / ICLR2024-REDL
[ICLR 2024] R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning
evidential-deep-learning iclr2024 ood-detection out-of-distribution-detection uncertainty-quantification
Language:Python 19
ZFancy / Unleashing-Mask
[ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"
generalization mask ood-detection atypical-samples forgetting out-of-distribution
Language:Python 19
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.
classification deep-learning deep-neural-networks machine-learning ood-detection open-set open-set-recognition out-of-distribution-detection pytorch uncertainty-calibration uncertainty-estimation uncertainty-neural-networks robust-deep-learning robust-machine-learning trustworthy-ai trustworthy-machine-learning anomaly-detection novelty-detection out-of-distribution
Language:Python 16
lancopku / Avg-Avg
[Findings of EMNLP 2022] Holistic Sentence Embeddings for Better Out-of-Distribution Detection
ai-safety natural-language-processing ood-detection robust-machine-learning trustworthy-machine-learning
Language:Python 16
AndrewZhou924 / graph-ood-detection
A curated list of resources for OOD detection with graph data.
graph-neural-networks ood-detection out-of-distribution-detection
15
cure-lab / DiffGuard
[ICCV 2023] The official implementation of paper "DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models"
deep-learning diffusion-models iccv2023 ood-detection pytorch
Language:Python 15
snu-mllab / Neural-Relation-Graph
Official PyTorch implementation of "Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data" (NeurIPS'23)
dataset-cleaning label-noise ood-detection
Language:Python 15
PyOpenTS / PyOpenTS
Efficient and User-Friendly Time Series Analysis Library for PyOpenTS with pytorch compatibility.
ood-detection open-set openmax pytorch time-series time-series-analysis ucr uea logitnorm
Language:Python 12
XueJiang16 / NegLabel
[ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"
ood ood-detection vision-and-language
Language:Python 12
j-cb / Breaking_Down_OOD_Detection
deep-learning ood ood-detection outlier-detection pytorch
Language:Python 11
YongHyun-Ahn / LINe-Out-of-Distribution-Detection-by-Leveraging-Important-Neurons
LINe: Out-of-Distribution Detection by Leveraging Important Neurons (CVPR 2023)
ood-detection shapley-value neuron-contribution
Language:Python 11

ood-detection

continuousml / Awesome-Out-Of-Distribution-Detection

Jingkang50 / OODSurvey

ldkong1205 / RoboDepth

kkirchheim / pytorch-ood

tianyu0207 / PEBAL

yyliu01 / RPL

dvlab-research / MOOD

Cogito2012 / DEAR

xmed-lab / CLIPN

megvii-research / FSSD_OoD_Detection

dlmacedo / entropic-out-of-distribution-detection

jfc43 / robust-ood-detection

Jingkang50 / ICCV21_SCOOD

jfc43 / informative-outlier-mining

miniHuiHui / awesome-out-of-distribution-detection

dlmacedo / distinction-maximization-loss

sayakpaul / Generalized-ODIN-TF

luping-liu / DiffOOD

Lingkai-Kong / Calibrated-BERT-Fine-Tuning

shyam671 / Mask2Anomaly-Unmasking-Anomalies-in-Road-Scene-Segmentation

lancopku / well-classified-examples-are-underestimated

thudzj / ScalableBDL

kobybibas / pnml_ood_detection

gist-ailab / block-selection-for-OOD-detection

linhaowei1 / TPL

MengyuanChen21 / ICLR2024-REDL

ZFancy / Unleashing-Mask

dlmacedo / robust-deep-learning

lancopku / Avg-Avg

AndrewZhou924 / graph-ood-detection

cure-lab / DiffGuard

snu-mllab / Neural-Relation-Graph

PyOpenTS / PyOpenTS

XueJiang16 / NegLabel

j-cb / Breaking_Down_OOD_Detection

YongHyun-Ahn / LINe-Out-of-Distribution-Detection-by-Leveraging-Important-Neurons