A Python library for Out-of-Distribution (OOD) Detection with Deep Neural Networks based on PyTorch.The library provides:Out-of-Distribution Detection Methods Loss Functions Datasets Neural Network Architectures, as well as pre-trained weights Data Augmentations Useful Utilities...
Open-Set Recognition trackwww.ood-cv.org/challenge.html 的冠军方案,此次比赛的冠军由专注边缘侧AI的英特灵达人工智能实验室(Intellindust AI Lab)获得。 Code SURE: https://yutingli0606.github.io/SURE/yutingli0606.github.io/SURE/ Code SURE-OOD: GitHub - LIYangggggg/SSB-OSR: PyTorch Im...
This repository is the PyTorch implementation of the IS-OOD benchmark mentioned in the paperRethinking the Evaluation of Out-of-Distribution Detection: A Sorites Paradox, aiming to evaluate the performance of OOD detection models across different levels of semantic and covariate shifts. ...
PyTorch Implementation of GenerSpeech (NeurIPS'22): a text-to-speech model towards zero-shot style transfer of OOD custom voice. - Rongjiehuang/GenerSpeech
Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers. - deel-ai/oodeel