Papers Referring Multi-Object Tracking
“Referring Multi-Object Tracking” 태그가 달린 논문 11편 · 필터 해제
ReaMOT: A Benchmark and Framework for Reasoning-based Multi-Object Tracking
Referring Multi-object tracking (RMOT) is an important research field in computer vision. Its task form is to guide the models to track the objects that conform to the language instruction. However, the RMOT task commonl…
Multi-Object TrackingObjectObject TrackingReferring Multi-Object TrackingCognitive Disentanglement for Referring Multi-Object Tracking
As a significant application of multi-source information fusion in intelligent transportation perception systems, Referring Multi-Object Tracking (RMOT) involves localizing and tracking specific objects in video sequence…
DisentanglementMulti-Object TrackingObjectObject Tracking+2Just Functioning as a Hook for Two-Stage Referring Multi-Object Tracking
Referring Multi-Object Tracking (RMOT) aims to localize target trajectories specified by natural language expressions in videos. Existing RMOT methods mainly follow two paradigms: one-stage strategies and two-stage ones.…
Computational EfficiencyContrastive LearningMulti-Object TrackingObject Tracking+1MEX: Memory-efficient Approach to Referring Multi-Object Tracking
Referring Multi-Object Tracking (RMOT) is a relatively new concept that has rapidly gained traction as a promising research direction at the intersection of computer vision and natural language processing. Unlike traditi…
Autonomous DrivingGPUMulti-Object TrackingObject+2Cross-View Referring Multi-Object Tracking
Referring Multi-Object Tracking (RMOT) is an important topic in the current tracking field. Its task form is to guide the tracker to track objects that match the language description. Current research mainly focuses on r…
Cross-view Referring Multi-Object TrackingMulti-Object TrackingObjectObject Tracking+1Tell Me What to Track: Infusing Robust Language Guidance for Enhanced Referring Multi-Object Tracking
Referring multi-object tracking (RMOT) is an emerging cross-modal task that aims to localize an arbitrary number of targets based on a language expression and continuously track them in a video. This intricate task invol…
DecoderMulti-Object TrackingObject TrackingReferring Multi-Object TrackingTemporal-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+3Bootstrapping Referring Multi-Object Tracking
Referring multi-object tracking (RMOT) aims at detecting and tracking multiple objects following human instruction represented by a natural language expression. Existing RMOT benchmarks are usually formulated through man…
DiversityMulti-Object TrackingObjectObject Tracking+1EchoTrack: Auditory Referring Multi-Object Tracking for Autonomous Driving
This paper introduces the task of Auditory Referring Multi-Object Tracking (AR-MOT), which dynamically tracks specific objects in a video sequence based on audio expressions and appears as a challenging problem in autono…
Autonomous DrivingMulti-Object TrackingObjectObject Tracking+1iKUN: Speak to Trackers without Retraining
Referring multi-object tracking (RMOT) aims to track multiple objects based on input textual descriptions. Previous works realize it by simply integrating an extra textual module into the multi-object tracker. However, t…
Multi-Object TrackingObject TrackingReferring Multi-Object TrackingReferring Multi-Object Tracking
Existing referring understanding tasks tend to involve the detection of a single text-referred object. In this paper, we propose a new and general referring understanding task, termed referring multi-object tracking (RMO…
Multi-Object TrackingObjectObject TrackingReferring Multi-Object Tracking