Code examples for Robotics, Vision & Control 3rd edition in Python

🦖Pytorch implementation of popular Attention Mechanisms, Vision Transformers, MLP-Like models and CNNs.🔥🔥🔥

[Arxiv] Towards Generic Anomaly Detection and Understanding: Large-scale Visual-linguistic Model (GPT-4V) Takes the Lead.

This repository contains the code of the CVPR 2022 paper "Image Segmentation Using Text and Image Prompts".

[CVPR 2024] Alpha-CLIP: A CLIP Model Focusing on Wherever You Want

12 Weeks, 24 Lessons, AI for All!

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

Industrial Language-Image Dataset (ILID), a web-crawled dataset containing language-image samples from various web catalogs, representing parts/components from the industrial domain.

A curated list of foundation models for vision and language tasks

This repo contains implementation of deep learning-based steel surface defect segmentation models. Extensive experiments on several deep learning frameworks have been presented with various perform…

Scribbles or Points-based weakly-supervised learning for medical image segmentation, a strong baseline, and tutorial for research and application.

Awesome Incremental Learning

PyTorch implementation of Superpixel Sampling Networks

Inpaint anything using Segment Anything and inpainting models.

Segment Anything Model for Medical Image Segmentation: paper list and open-source project summary

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

Code for [MICCAI 2023] Treasure in Distribution: A Domain Randomization based Multi-Source Domain Generalization for 2D Medical Image Segmentation.

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

Domain Generalization for Prostate Segmentation in Transrectal Ultrasound Images: A Multi-center Study

A collection of resources and papers on Diffusion Models

Awesome List of Attention Modules and Plug&Play Modules in Computer Vision

[CVPR 2023] Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation

SPAtial GrapHs: nETworks, Topology, & Inference

The PyTorch Code for our CVPR 2022 paper "L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation"