MetaSeg: Packaged version of the Segment Anything repository

Tracking Anything in High Quality

Image augmentation for object detection, segmentation and classification

Detectorch - detectron for PyTorch

See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks (CVPR19)

A curated list of awesome resources for camouflaged/concealed object detection (COD).

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)

ROS/ROS 2 package for Ultralytics YOLOv8 real-time object detection and segmentation. https://github.com/ultralytics/ultralytics

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

🔥OGC in PyTorch (NeurIPS 2022 & TPAMI 2024)

Simple and unified interface to zero-shot computer vision models curated for robotics use cases.

[IEEE TPAMI-2024] Pair then Relation: Pair-Net for Panoptic Scene Graph Generation

A curated list of awesome resources for salient object detection (SOD), focusing more on multi-modal SOD, such as RGB-D SOD.

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