DelTA-Lab-IITK / U-CAMLinks
Visual Explanation using Uncertainty based Class Activation Maps
☆23Updated 5 years ago
Alternatives and similar repositories for U-CAM
Users that are interested in U-CAM are comparing it to the libraries listed below
Sorting:
- ☆46Updated 4 years ago
- Official re-implementation of the Calibrated Adversarial Refinement model described in the paper "Calibrated Adversarial Refinement for S…☆34Updated 2 years ago
- An implementation of the Residual Flow algorithm for out-of-distribution detection.☆31Updated 3 years ago
- Code and models for our paper "Risk-Aware Machine Learning Classifier for Skin Lesion Diagnosis"☆10Updated last year
- Code for paper "AI for radiographic COVID-19 detection selects shortcuts over signal"☆29Updated 4 years ago
- Work on Evidential Deep Learning to Quantify Classification Uncertainty☆60Updated 6 years ago
- ☆93Updated 4 years ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆57Updated 6 years ago
- Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".☆31Updated 4 years ago
- supervised and semi-supervised image classification with self-supervision (Keras)☆45Updated 4 years ago
- Code of our method MbLS (Margin-based Label Smoothing) for network calibration. To Appear at CVPR 2022. Paper : https://arxiv.org/abs/211…☆50Updated 2 years ago
- ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping☆54Updated 2 years ago
- PyTorch Vision Toolbox not only for deep-clustering☆30Updated 2 years ago
- Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude’s Variance Matters☆30Updated 4 years ago
- Addressing Failure Prediction by Learning Model Confidence☆173Updated 2 years ago
- Pytorch code for the paper "Deep Active Learning for Joint Classification and Segmentation with Weak Annotator"☆29Updated 3 years ago
- Repository for the Medical Out-of-Distribution Analysis Challenge.☆63Updated last year
- Code and data of the "Multi-domain adversarial learning" paper, Schoenauer-Sebag et al., accepted at ICLR 2019☆38Updated 4 years ago
- Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.☆54Updated 2 years ago
- Official Pytorch implementation of the paper DeScarGAN☆30Updated 4 years ago
- Python implementation for evaluating explanations presented in "On the (In)fidelity and Sensitivity for Explanations" in NeurIPS 2019 for…☆25Updated 3 years ago
- Pre-trained model, code, and materials from the paper "Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmen…☆60Updated 5 years ago
- Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019☆27Updated 5 years ago
- Tensorflow implementation of S4L: Self-Supervised Semi-Supervised Learning☆95Updated 5 years ago
- Curriculum learning for improved femur fracture classification: scheduling data with prior knowledge and uncertainty. Medical Image Analy…☆18Updated 3 years ago
- Generalizing to unseen domains via distribution matching☆72Updated 4 years ago
- ☆30Updated 3 years ago
- Domain Generalization via Model-Agnostic Learning of Semantic Features☆148Updated 2 years ago
- ☆38Updated 4 years ago
- Official Code Repository for Diagnosing Colorectal Polyps in the Wild with Capsule Networks☆16Updated 2 years ago