object-segmentation
There are 136 repositories under object-segmentation topic.
kadirnar/segment-anything-video
MetaSeg: Packaged version of the Segment Anything repository
jiawen-zhu/HQTrack
Tracking Anything in High Quality
Fafa-DL/Image-Augmentation
Image augmentation for object detection, segmentation and classification
ignacio-rocco/detectorch
Detectorch - detectron for PyTorch
visionxiang/awesome-camouflaged-object-detection
A curated list of awesome resources for camouflaged/concealed object detection (COD).
carrierlxk/COSNet
See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks (CVPR19)
Alpaca-zip/ultralytics_ros
ROS/ROS 2 package for Ultralytics YOLOv8 real-time object detection and segmentation. https://github.com/ultralytics/ultralytics
MuhammadMoinFaisal/YOLOv8_Segmentation_DeepSORT_Object_Tracking
YOLOv8 Segmentation with DeepSORT Object Tracking (ID + Trails)
FoundationVision/UniRef
[ICCV2023] Segment Every Reference Object in Spatial and Temporal Spaces
wenguanwang/AGS
Learning Unsupervised Video Object Segmentation through Visual Attention (CVPR19, PAMI20)
carrierlxk/AGNN
Zero-shot Video Object Segmentation via Attentive Graph Neural Networks (ICCV2019 Oral)
yanxp/MetaR-CNN
Meta R-CNN : Towards General Solver for Instance-level Low-shot Learning
Z-Zheng/FarSeg
Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery (CVPR 2020 & TPAMI 2023) https://arxiv.org/pdf/2011.09766.pdf
vivoCameraResearch/SDMatte
Official code for our ICCV2025 paper "SDMatte: Grafting Diffusion Models for Interactive Matting"
pollen-robotics/pollen-vision
Simple and unified interface to zero-shot computer vision models curated for robotics use cases.
visionxiang/awesome-salient-object-detection
A curated list of awesome resources for salient object detection (SOD), focusing more on multi-modal SOD, such as RGB-D SOD.
vLAR-group/OGC
š„OGC in PyTorch (NeurIPS 2022 & TPAMI 2024)
king159/Pair-Net
[IEEE TPAMI-2024] Pair then Relation: Pair-Net for Panoptic Scene Graph Generation
VoyagerXvoyagerx/InstructSAM
InstructSAM: A Training-Free Framework for Instruction-Oriented Remote Sensing Object Recognition (NeurIPS 2025)
wasidennis/ObjectFlow
Implemenation of the paper: "Video Segmentation via Object Flow", Y.-H. Tsai, M.-H. Yang and M. J. Black, CVPR 2016
hshatti/LightNet
Implemented in pure pascal LightNet is an artificial intelligence neural network library Inspired by Darknet and yolo library which can run most of the darknet including YOLO models nativly and self dependently in pascal, tests are provided for both Lazarus and Delphi
vietnh1009/Deeplab-pytorch
Deeplab for semantic segmentation tasks
noxouille/rt-mrcnn
Real time instance segmentation with Mask R-CNN, live from webcam feed.
IRVLUTD/AutoX-SemMap
Autonomous Exploration, Construction and Update of Semantic Map in real-time
cedrickchee/realtime-detectron
Real-time Detectron using webcam.
alvinwan/antsy3d
in-browser point cloud annotation tool for instance-level segmentation with fat markers
vLAR-group/UnsupObjSeg
š„Benchmarking Unsupervised Obj Seg (NeurIPS 2022 & IJCV 2024)
Hyuto/yolov8-seg-onnxruntime-web
YOLOv8 Segmentation Right in The Browser Using onnxruntime-web
wenz116/lang2seg
Referring Expression Object Segmentation with Caption-Aware Consistency, BMVC 2019
statmlben/rankseg
RankSEG: A consistent ranking-based framework for segmentation
etosworld/etos-deepcut
Deep Extreme Cut http://www.vision.ee.ethz.ch/~cvlsegmentation/dextr . a tool to do automatically object segmentation from extreme points.
wenz116/TransferSeg
Unseen Object Segmentation in Videos via Transferable Representations, ACCV 2018 (oral)
akbartus/Yolov8-Segmentation-on-Browser
Example of YOLOv8 Segmentation on Browser. It is powered by Onnx and served through JavaScript without any frameworks
zal0302/CII
The official PyTorch implementation of IEEE Transactions on Image Processing 2021 paper "Rethinking the U-shape Structure for Salient Object Detection"
Hyuto/yolov8-seg-tfjs
YOLOv8 Segmentation Right in The Browser Using Tensorflow.js