ood-detection topic

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).

sayakpaul

Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"

lancopku

The official implementation for Diffusion Denoising Process for Perceptron Bias in Out-of-distribution Detection (DiffOOD)

luping-liu

👽 Out-of-Distribution Detection with PyTorch

kkirchheim

[ICCV'23 Oral] Unmasking Anomalies in Road-Scene Segmentation

shyam671

Out-of-distribution detection using the pNML regret. NeurIPS2021

kobybibas

[ICCV'23] Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation

yyliu01

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. C...

dlmacedo

[NeurIPS 2023] RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions

ldkong1205

Out-of-distribution detection, robustness, and generalization resources. The repository contains a professionally curated list of papers, tutorials, books, videos, articles and open-source libraries e...

huytransformer