There are 1 repository under video-instance-segmentation topic.
OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
[CVPR2021 Oral] End-to-End Video Instance Segmentation with Transformers
Instances as Queries (ICCV 2021)
SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020)
Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation, NeurIPS 2021 Spotlight
[NeurIPS'21] Unified tracking framework with a single appearance model. It supports Single Object Tracking (SOT), Video Object Segmentation (VOS), Multi-Object Tracking (MOT), Multi-Object Tracking and Segmentation (MOTS), Pose Tracking, Video Instance Segmentation (VIS), and class-agnostic MOT (e.g. TAO dataset).
SeqFormer: a Frustratingly Simple Model for Video Instance Segmentation
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency (AAAI 2021)
[CVPR 2021] Youtube-VIS 2021 3rd place, [CVPR 2020] winner DAVIS 2020. Code for mask selection based methods.
UNOFFICIAL implement of MaskTrackRCNN for video instance segmentation via mmdetection 2.11.0.