SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition (ICCV 2021)

This is a curated semantic version of the PASCAL-Part dataset for part-based object detection. Objects are aligned with WordNet and Yago concepts. The dataset is both in PASCAL-Voc and RDF format.

Learning Bottleneck Concepts in Image Classification (CVPR 2023)

A curated list of awesome Multi-instance Learning frameworks for Whole Slide Images (WSIs) classification, segmentation, etc.

An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning

🙌 OpenHands: Code Less, Make More

DAS-MIL: Distilling Across Scales for MILClassification of Histological WSIs

PyTorch code and models for the DINOv2 self-supervised learning method.

AMS Network on Neurosymbolic AI for Medicine

Official Implementation of ClusterFix (WACV 2024)

Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell

A 2 month Ego-vision Dataset with Autographer Wearable Camera and 2 users

A library for prompt engineering and optimization (SAMMO = Structure-aware Multi-Objective Metaprompt Optimization)

A comprehensive set of colab notebooks to showcase the principal differences among XAI techniques

lab-1-intro-to-git-c-and-msp430-jrepifano created by GitHub Classroom

PyTorch Explain: Interpretable Deep Learning in Python.

A collection of modules and classes that can be used to perform guided tours with R1 robot or to simply interact with it. It's also the repo that contains the configuration files to perform autonom…

Official PyTorch implementation for our ICCV 2019 paper - Fooling Network Interpretation in Image Classification

Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models (AAAI 2024)

PyTorch extensions for high performance and large scale training.

Official implementation of paper "Query2Label: A Simple Transformer Way to Multi-Label Classification".

Pytorch code for ECCVW 2022 paper "Consistency-based Self-supervised Learning for Temporal Anomaly Localization"

Official implementation of paper "Catastrophic Forgetting in Continual Concept Bottleneck Models"

Codebase for Neuro-Symbolic Continual Learning.

(CVPR2023/TPAMI2024) Integrally Pre-Trained Transformer Pyramid Networks -- A Hierarchical Vision Transformer for Masked Image Modeling

[CVPR2023] The code for 《Position-guided Text Prompt for Vision-Language Pre-training》

DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image

Python 3.8+ toolbox for submitting jobs to Slurm

Updated code base for GlanceNets: Interpretable, Leak-proof Concept-based models