[ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond
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Updated
Jan 26, 2023 - Python
[ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond
We leverage 14 datasets as OOD test data and conduct evaluations on 8 NLU tasks over 21 popularly used models. Our findings confirm that the OOD accuracy in NLP tasks needs to be paid more attention to since the significant performance decay compared to ID accuracy has been found in all settings.
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.
The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.
💠 Essential object oriented design (python, pytest, travisCI)
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.
Reproducing experimental results of OOD-by-MCD [Yu and Aizawa et al. ICCV 2019]
[ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"
A Python wrapper for Affinity (CRM platform).
Multilabel Out-of-Distribution Detection
Repository for the paper "Perception Datasets for Anomaly Detection in Autonomous Driving: A Survey"
[ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"
Implement the OOD milestone papers with pyotorch template style
A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures
Realisitic Out-of-Distribution (OOD) Detection
Student project regarding out-of-domain text classification methods comparison on CLINC150 dataset.
Post-hoc Out-of-Distribution Detection
OOP Python code to execute sql query and generate a report
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