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

从 0 到 1，带你开发自己的 RPC 框架

Weakly Supervised Instance Segmentation using Class Peak Response, in CVPR 2018 (Spotlight)

🖤 Create and share beautiful images of your source code

Curated list of awesome works on unsupervised object localization in 2D images.

Official implementation of MOST: Multiple object localization with self-supervised transformers published at ICCV 2023

Weakly Supervised Object Localization Papers

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…

OpenMMLab Detection Toolbox and Benchmark

links to conference publications in graph-based deep learning

Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

A library for graph deep learning research

Learning Open-World Object Proposals without Learning to Classify

[CVPR 2023] Official Pytorch code for Unknown Sniffer for Object Detection: Don’t Turn a Blind Eye to Unknown Objects

[ICCV 2023] PyTorch implementation of RandBox

Official code for ICCV 2023 Paper: AlignDet: Aligning Pre-training and Fine-tuning in Object Detection.

[NeurIPS 2022] The official implementation of "Learning to Discover and Detect Objects".

Code release for "Cut and Learn for Unsupervised Object Detection and Instance Segmentation" and "VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation"

Pytorch implementation of LOST unsupervised object discovery method

Documentation for Ross Wightman's timm image model library

pytorch, SAFF, Self-Attention-Based Deep Feature Fusion for Remote Sensing Scene Classification,

Unofficial implementation for [ECCV'22] "Exploring Plain Vision Transformer Backbones for Object Detection"

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型

Awesome-LLM: a curated list of Large Language Model