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.

[CVPR'23] Universal Instance Perception as Object Discovery and Retrieval

[CVPR2024 Highlight]GLEE: General Object Foundation Model for Images and Videos at Scale

SAM-PT: Extending SAM to zero-shot video segmentation with point-based tracking.

[CVPR2021 Oral] End-to-End Video Instance Segmentation with Transformers

Next-generation Video instance recognition framework on top of Detectron2 which supports InstMove (CVPR 2023), SeqFormer(ECCV Oral), and IDOL(ECCV Oral))

[ICCV 2021] Instances as Queries

Mask-Free Video Instance Segmentation [CVPR 2023]

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: Sequential Transformer for Video Instance Segmentation (ECCV 2022 Oral)

SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020)

Temporally Efficient Vision Transformer for Video Instance Segmentation, CVPR 2022, Oral

Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency (AAAI 2021)

Code release for "UniVS: Unified and Universal Video Segmentation with Prompts as Queries" (CVPR2024)

DVIS: Decoupled Video Instance Segmentation Framework

Awesome video instance segmentation papers

DeVIS: Making Deformable Transformers Work for Video Instance Segmentation

Code release for "STMask: Spatial Feature Calibration and Temporal Fusion for Effective One-stage Video Instance Segmentation"(CVPR2021)