JackeyWang96 / TesNet
ICCV2021 paper: Interpretable Image Recognition by Constructing Transparent Embedding Space (TesNet)
☆19Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for TesNet
- GitHub repository for KDD 2021 work: ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classificati…☆11Updated 3 years ago
- ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition☆34Updated last year
- The official repository for Deformable ProtoPNet, as described in "Deformable ProtoPNet: An Interpretable Image Classifier Using Deformab…☆37Updated 4 months ago
- This repository provides code for the paper ---- On Universal Black-Box Domain Adaptation.☆10Updated 3 years ago
- The source code of 'Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification' (MICCAI 2021)☆16Updated 3 years ago
- Official code for "Probabilistic Concept Bottleneck Models (ICML 2023)"☆16Updated last year
- ☆43Updated 3 years ago
- Weakly Supervised Contrastive Learning☆39Updated 3 years ago
- ☆32Updated 3 years ago
- This is the official repo for our CVPR22 paper: Scalable Penalized Regression for Noise Detection in Learning With Noisy Labels.☆17Updated 7 months ago
- Learning Bottleneck Concepts in Image Classification (CVPR 2023)☆34Updated last year
- ☆14Updated 2 years ago
- Official code for "BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification"☆22Updated 6 months ago
- Code for "NVUM: Non-volatile Unbiased Memory for Robust Medical Classification" [MICCAI 2022 Early Accept]☆11Updated 2 years ago
- code for our ICCV 2021 paper 'Generalized Source-free Domain Adaptation'☆101Updated 2 years ago
- [ICCV 2023] Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks☆13Updated last year
- the code for paper "Energy-Based Open-World Uncertainty Modeling for Confidence Calibration"☆41Updated 3 years ago
- Domain generalization benchmark for skin lesion recognition, MICCAI 2023☆16Updated 8 months ago
- Code for CVPR2020 ‘Training Noise Robust Deep Neural Networks via Meta-Learning’☆20Updated 4 years ago
- [NIPS 2020] The code release of paper 'Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization'☆62Updated 4 years ago
- ☆18Updated 2 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…☆48Updated last year
- Learning to Segment from Noisy Annotations: A Spatial Correction Approach☆17Updated last year
- NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"☆38Updated 2 years ago
- JiahuaDong / ICCV2019Publication-Semantic-Transferable-Weakly-Supervised-Endoscopic-Lesions-Segmentation☆13Updated 4 years ago
- Unsupervised Domain Adaptation without Source Data by Casting a BAIT☆24Updated 2 years ago
- (NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"☆58Updated last year
- Code for ICLR2021 paper "Robust and Generalizable Visual Representation Learning via Random Convolutions"☆62Updated 3 years ago
- PyTorch code for Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings (ICCV 2021)☆40Updated last year
- Implementation of the paper "A Framework for Learning Ante-hoc Explainable Models via Concepts" (CVPR 2022).☆8Updated 3 months ago