Multi-Object Tracking and Segmentation
2개 벤치마크 · 논문 30편 · 이 태스크의 논문 보기 →
Benchmarks
BDD100K val
KITTI MOTS
Most implemented
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
EagerMOT: 3D Multi-Object Tracking via Sensor Fusion
D2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in Videos
Universal Instance Perception as Object Discovery and Retrieval
Papers
Seg2Track++: Probabilistic Track Validation and Data Association for Multi-Object Tracking and Segmentation
Autonomous systems require robust Multi-Object Tracking and Segmentation (MOTS) to operate reliably in dynamic environments, ensuring consistent object identities and precise mask-level delineation. Foundation models suc…
Multi-Object Tracking and SegmentationZero-shot GeneralizationInstance SegmentationSeg2Track-SAM2: SAM2-based Multi-object Tracking and Segmentation
Autonomous-driving perception systems require robust Multi-Object Tracking (MOT) to operate reliably in dynamic environments. MOT maintains consistent object identities across frames while preserving spatial accuracy. Re…
Multi-Object Tracking and SegmentationVideo SegmentationTemporal-Enhanced Multimodal Transformer for Referring Multi-Object Tracking and Segmentation
Referring multi-object tracking (RMOT) is an emerging cross-modal task that aims to locate an arbitrary number of target objects and maintain their identities referred by a language expression in a video. This intricate …
Multi-Object TrackingMulti-Object Tracking and SegmentationObject TrackingReferring Multi-Object Tracking+3CML-MOTS: Collaborative Multi-task Learning for Multi-Object Tracking and Segmentation
The advancement of computer vision has pushed visual analysis tasks from still images to the video domain. In recent years, video instance segmentation, which aims to track and segment multiple objects in video frames, h…
Autonomous DrivingInstance SegmentationMulti-Object TrackingMulti-Object Tracking and Segmentation+7Deep Learning Techniques for Video Instance Segmentation: A Survey
Video instance segmentation, also known as multi-object tracking and segmentation, is an emerging computer vision research area introduced in 2019, aiming at detecting, segmenting, and tracking instances in videos simult…
Action RecognitionDeep LearningInstance SegmentationMulti-Object Tracking+7Universal Instance Perception as Object Discovery and Retrieval
All instance perception tasks aim at finding certain objects specified by some queries such as category names, language expressions, and target annotations, but this complete field has been split into multiple independen…
Described Object DetectionGeneralized Referring Expression ComprehensionInstance SegmentationMulti-Object Tracking and Segmentation+16