image-segmentation

CVPR 2026 论文和开源项目合集

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.

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."

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.

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.

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.

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

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

A cross-platform video structuring (video analysis) framework based on CV models & mLLM.

Deep Learning Server and CLI for Torch and TensorRT

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

ECCV 2026 论文和开源项目合集，同时欢迎各位大佬提交issue，分享ECCV 2026论文和开源项目

:pencil2: Web-based image segmentation tool for object detection, localization, and keypoints

Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

[CVPR 2023] OneFormer: One Transformer to Rule Universal Image Segmentation

PyTorch extensions for fast R&D prototyping and Kaggle farming

Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts

Advanced Normalization Tools (ANTs)

A curated list of awesome links and software libraries that are useful for robots.

Code for the Lovász-Softmax loss (CVPR 2018)

Using Diffusion Models to Segment/Reconstruct Organs from Medical Images [AAAI Most influential Paper]

Build, train, optimize, and run computer vision models locally, from raw images to live inference. Open source, optimized for Intel XPU (CPU-only and CUDA also supported).

Automatically find issues in image datasets and practice data-centric computer vision.

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

:fire: :fire: :fire: A paper list of some recent Computer Vision(CV) works