MetaSeg: Packaged version of the Segment Anything repository
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Updated
Sep 9, 2025 - Python
MetaSeg: Packaged version of the Segment Anything repository
Tracking Anything in High Quality
Detectorch - detectron for PyTorch
A curated list of awesome resources for camouflaged/concealed object detection (COD).
See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks (CVPR19)
ROS/ROS 2 package for Ultralytics YOLOv8 real-time object detection and segmentation. https://github.com/ultralytics/ultralytics
YOLOv8 Segmentation with DeepSORT Object Tracking (ID + Trails)
[ICCV2023] Segment Every Reference Object in Spatial and Temporal Spaces
Learning Unsupervised Video Object Segmentation through Visual Attention (CVPR19, PAMI20)
Zero-shot Video Object Segmentation via Attentive Graph Neural Networks (ICCV2019 Oral)
Meta R-CNN : Towards General Solver for Instance-level Low-shot Learning
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
Simple and unified interface to zero-shot computer vision models curated for robotics use cases.
🔥OGC in PyTorch (NeurIPS 2022 & TPAMI 2024)
[IEEE TPAMI-2024] Pair then Relation: Pair-Net for Panoptic Scene Graph Generation
Implemenation of the paper: "Video Segmentation via Object Flow", Y.-H. Tsai, M.-H. Yang and M. J. Black, CVPR 2016
InstructSAM: A Training-Free Framework for Instruction-Oriented Remote Sensing Object Recognition
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
Deeplab for semantic segmentation tasks
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