CVPR 2026 论文和开源项目合集

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

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

cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.

Remove backgrounds from images directly in the browser environment with ease and no additional costs or privacy concerns. Explore an interactive demo.

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

unet for image segmentation

An OBS plugin for removing background in portrait images (video), making it easy to replace the background when recording or streaming.

A collection of loss functions for medical image segmentation

📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.

Accelerated deep learning R&D

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

[CAAI AIR'24] Bilateral Reference for High-Resolution Dichotomous Image Segmentation

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

A cross-platform video structuring (video analysis) framework. If you find it helpful, please give it a star: ) 跨平台的视频结构化（视频分析）框架，觉得有帮助的请给个星星 : )

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

Tool for robust segmentation of >100 important anatomical structures in CT and MR images

Deep Learning API and Server in C++14 support for PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

This is the repo for our new project Highly Accurate Dichotomous Image Segmentation

[ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

The collection of pre-trained, state-of-the-art AI models for ailia SDK

ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理