Official repo of Progressive Data Expansion: data, code and evaluation

Papers and code of Explainable AI esp. w.r.t. Image classificiation

The official code for Attention Guided CAM: Visual Explanations of Vision Transformer Guided by Self-Attention

Vision Transformer explanation and implementation with PyTorch

VMamba: Visual State Space Models，code is based on mamba

Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization (NeurIPS 2023)

Code for paper: Group-CAM: Group Score-Weighted Visual Explanations for Deep Convolutional Networks

[MMAsia'23] Feature Adaptation with CLIP for Few-shot Classification

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

InterpretDL: Interpretation of Deep Learning Models，基于『飞桨』的模型可解释性算法库。

[ICLR 2024 Oral] Less is More: Fewer Interpretable Region via Submodular Subset Selection

Code for the paper "Explain Any Concept: Segment Anything Meets Concept-Based Explanation". Poster @ NeurIPS 2023

[ECCV 2022] The official repository of ''$\ell_\infty$-Robustness and Beyond: Unleashing Efficient Adversarial Training''.

(CVPR 2022) Pytorch implementation of "Self-supervised transformers for unsupervised object discovery using normalized cut"

CVPR2023 | MVImgNet: A Large-scale Dataset of Multi-view Images

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Official implementation of Score-CAM in PyTorch

Representation Learning and Representation Fusion for computer vision, semantic scene understanding, and robotics.

[CVPR 2022] C2AM: Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation

VICRegL official code base

A Python implementation of Conceptors.

SimpleAICV:pytorch training and testing examples.