gmum / ProtoPShare
GitHub repository for KDD 2021 work: ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classification
☆12Updated 3 years ago
Alternatives and similar repositories for ProtoPShare:
Users that are interested in ProtoPShare are comparing it to the libraries listed below
- Code for "Interpretable image classification with differentiable prototypes assignment", ECCV 2022☆26Updated 2 years ago
- ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition☆37Updated 2 years ago
- ICCV2021 paper: Interpretable Image Recognition by Constructing Transparent Embedding Space (TesNet)☆24Updated 2 years ago
- The official repository for Deformable ProtoPNet, as described in "Deformable ProtoPNet: An Interpretable Image Classifier Using Deformab…☆42Updated 5 months ago
- Learning Representations that Support Robust Transfer of Predictors☆20Updated 3 years ago
- Weakly Supervised Contrastive Learning☆41Updated 3 years ago
- Code for "Balanced Knowledge Distillation for Long-tailed Learning"☆27Updated last year
- [ICCV 2023] Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks☆17Updated last year
- This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…☆21Updated 2 years ago
- Code and results accompanying our paper titled Domain Adaptation under Open Set Label Shift☆31Updated 2 years ago
- [MIDL 2023] Official Imeplementation of "Making Your First Choice: To Address Cold Start Problem in Vision Active Learning"☆35Updated last year
- Code for the experiments of the ICML 2021 Interpretability workshop paper "This Looks Like That... Does it? Shortcomings of Latent Space …☆17Updated last year
- Implementation of Concept-level Debugging of Part-Prototype Networks☆12Updated last year
- ☆18Updated 2 years ago
- Code for "Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning"☆24Updated 4 years ago
- Official code for "Probabilistic Concept Bottleneck Models (ICML 2023)"☆17Updated last year
- PyTorch implementation of our CVPR2023 paper "OpenMix: Exploring Out-of-Distribution samples for Misclassification Detection"☆24Updated last year
- 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
- ☆9Updated 3 years ago
- ☆30Updated this week
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆44Updated last year
- A Generic Multi-classifier Paradigm forIncremental Learning☆11Updated 4 years ago
- NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"☆39Updated 3 years ago
- This repository contains code for explaining prototypes learned by ProtoPNet, by quantifying the influence of color hue, shape, texture, …☆15Updated 4 years ago
- Official repository for Is your noise correction noisy? PLS: Robustness to label noise with two stage detection WACV 2023☆20Updated 2 years ago
- [NeurIPS 2021] “Improving Contrastive Learning on Imbalanced Data via Open-World Sampling”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangya…☆28Updated 3 years ago
- This is the implementation of our CVPR'23 paper "Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition".☆20Updated last year
- NeurIPS 2022: Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning☆17Updated 2 years ago
- Official code of the CVPR 2022 paper "Proto2Proto: Can you recognize the car, the way I do?"☆19Updated 3 years ago
- Pytorch Code for "A Broad Study on the Transferability of Visual Representations with Contrastive Learning" (ICCV 2021)☆36Updated 3 years ago