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
SeqFormer: Sequential Transformer for Video Instance Segmentation (ECCV 2022 Oral)
[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 an...
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)