Pinned Repositories
Awesome-Failure-Detection
A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)
CVPR21_PASS
PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"
FMFP
PyTorch implementation of our ECCV 2022 paper "Rethinking Confidence Calibration for Failure Prediction"
ICME21_calibrateCIL
PyTorch implementation of our ICME2021 (oral) paper "Calibration for Non-exemplar Based Class-incremental Learning"
IL2A
PyTorch implementation of our NeurIPS 2021 paper "Class-Incremental Learning via Dual Augmentation"
Impression2805.github.io
ItO4CIL
Imitating the Oracle: Towards Calibrated Model for Class Incremental Learning
OpenMix
PyTorch implementation of our CVPR2023 paper "OpenMix: Exploring Out-of-Distribution samples for Misclassification Detection"
RCL
PyTorch implementation of our CVPR2024 paper "RCL: Reliable Continual Learning for Unified Failure Detection"
Impression2805's Repositories
Impression2805/CVPR21_PASS
PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"
Impression2805/Awesome-Failure-Detection
A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)
Impression2805/IL2A
PyTorch implementation of our NeurIPS 2021 paper "Class-Incremental Learning via Dual Augmentation"
Impression2805/FMFP
PyTorch implementation of our ECCV 2022 paper "Rethinking Confidence Calibration for Failure Prediction"
Impression2805/OpenMix
PyTorch implementation of our CVPR2023 paper "OpenMix: Exploring Out-of-Distribution samples for Misclassification Detection"
Impression2805/ICME21_calibrateCIL
PyTorch implementation of our ICME2021 (oral) paper "Calibration for Non-exemplar Based Class-incremental Learning"
Impression2805/RCL
PyTorch implementation of our CVPR2024 paper "RCL: Reliable Continual Learning for Unified Failure Detection"
Impression2805/Impression2805.github.io
Impression2805/ItO4CIL
Imitating the Oracle: Towards Calibrated Model for Class Incremental Learning