cwangrun / ST-ProtoPNet
[ICCV 2023] Learning Support and Trivial Prototypes for Interpretable Image Classification
☆22Updated last month
Alternatives and similar repositories for ST-ProtoPNet
Users that are interested in ST-ProtoPNet are comparing it to the libraries listed below
Sorting:
- Domain generalization benchmark for skin lesion recognition, MICCAI 2023☆18Updated last year
- The official repository for Deformable ProtoPNet, as described in "Deformable ProtoPNet: An Interpretable Image Classifier Using Deformab…☆43Updated 5 months ago
- ☆30Updated last year
- [ICCV 2023] Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Lear…☆19Updated 4 months ago
- ICCV2021 paper: Interpretable Image Recognition by Constructing Transparent Embedding Space (TesNet)☆24Updated 3 years ago
- vMFNet: Compositionality Meets Domain-generalised Segmentation☆16Updated 2 years ago
- [NIPS 2020] The code release of paper 'Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization'☆67Updated 4 years ago
- [ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging☆63Updated last year
- Source-Free Domain Adaptation☆42Updated 2 years ago
- PIP-Net: Patch-based Intuitive Prototypes Network for Interpretable Image Classification (CVPR 2023)☆70Updated last year
- [CVPR2023]PEFAT: Boosting Semi-supervised Medical Image Classification via Pseudo-loss Estimation and Feature Adversarial Training☆50Updated last year
- [MICCAI'22] Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift☆19Updated 2 years ago
- This repository summarizes the material gathered for the tutorial on learning disentangled representations in the imaging domain, and ser…☆62Updated 2 years ago
- A PyTorch implementation of MoCo based on CVPR 2020 paper "Momentum Contrast for Unsupervised Visual Representation Learning"☆54Updated 4 years ago
- Code for ICLR2021 paper "Robust and Generalizable Visual Representation Learning via Random Convolutions"☆66Updated 4 years ago
- Code for the paper "Test-time adaptable neural networks for robust medical image segmentation"☆46Updated 4 years ago
- ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition☆37Updated 2 years ago
- Code for "NVUM: Non-volatile Unbiased Memory for Robust Medical Classification" [MICCAI 2022 Early Accept]☆12Updated 2 years ago
- Archive for Self-supervised learning in Medical images (A4SM).☆60Updated 2 years ago
- Code for the paper "Coherent Concept-based Explanations in Medical Image and Its Application to Skin Lesion Diagnosis", CVPRW 2023.☆16Updated 5 months ago
- [IEEE TMI'22] DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain Medical Images☆18Updated 2 years ago
- IEEE TMI 2021☆17Updated 2 years ago
- [MedIA'22] Constrained unsupervised anomaly segmentation.☆20Updated 2 years ago
- ☆14Updated last year
- Code for [IEEE-TMI] Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image Segmentation.☆36Updated 2 years ago
- ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping☆53Updated 2 years ago
- Official PyTorch Implementation for DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysi…☆101Updated last year
- Integrating Clinical Knowledge into Concept Bottleneck Models (MICCAI2024)☆10Updated 8 months ago
- Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation☆36Updated 3 years ago
- [MICCAI'19] Robust multimodal brain tumor segmentation via feature disentanglement and gated fusion☆39Updated 3 years ago