There are 4 repositories under object-segmentation topic.
MetaSeg: Packaged version of the Segment Anything repository
Tracking Anything in High Quality
Detectorch - detectron for PyTorch
Image augmentation for object detection, segmentation and classification
See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks (CVPR19)
[ICCV2023] Segment Every Reference Object in Spatial and Temporal Spaces
A curated list of awesome resources for camouflaged/concealed object detection (COD).
Learning Unsupervised Video Object Segmentation through Visual Attention (CVPR19, PAMI20)
Zero-shot Video Object Segmentation via Attentive Graph Neural Networks (ICCV2019 Oral)
YOLOv8 Segmentation with DeepSORT Object Tracking (ID + Trails)
ROS/ROS 2 package for Ultralytics YOLOv8 real-time object detection and segmentation. https://github.com/ultralytics/ultralytics
🔥OGC in PyTorch (NeurIPS 2022)
Tool to evaluate deep-learning detection and segmentation models, and to create datasets
Implemenation of the paper: "Video Segmentation via Object Flow", Y.-H. Tsai, M.-H. Yang and M. J. Black, CVPR 2016
Deeplab for semantic segmentation tasks
Simple and unified interface to zero-shot computer vision models curated for robotics use cases.
A curated list of awesome resources for salient object detection (SOD), focusing more on multi-modal SOD, such as RGB-D SOD.
Real-time Detectron using webcam.
🔥Benchmarking Unsupervised Object Segmentation (NeurIPS 2022)
Deep Extreme Cut http://www.vision.ee.ethz.ch/~cvlsegmentation/dextr . a tool to do automatically object segmentation from extreme points.
Unseen Object Segmentation in Videos via Transferable Representations, ACCV 2018 (oral)
YOLOv8 Segmentation Right in The Browser Using onnxruntime-web
YOLOv8 Segmentation Right in The Browser Using Tensorflow.js
Unsupervised Object Discovery and Segmentation with a Copy-Pasting GAN (CP-GAN) - PyTorch implementation (unofficial)
SAM + CLIP + DIFFUSION for image to edit objects in images using plain text
Example of YOLOv8 Segmentation on Browser. It is powered by Onnx and served through JavaScript without any frameworks
This project uses Centernet and Conditional Convolutions for Instance Segmentation