SoccerNet 2023 challenges results
The SoccerNet 2023 challenges were the third annual video understanding challenges
organized by the SoccerNet team. For this third edition, the challenges were composed of …
organized by the SoccerNet team. For this third edition, the challenges were composed of …
EchoTrack: 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 …
dynamically tracks specific objects in a video sequence based on audio expressions and …
PuTR: A Pure Transformer for Decoupled and Online Multi-Object Tracking
C Liu, H Li, Z Wang, R Xu - arxiv preprint arxiv:2405.14119, 2024 - arxiv.org
Recent advances in Multi-Object Tracking (MOT) have achieved remarkable success in
short-term association within the decoupled tracking-by-detection online paradigm …
short-term association within the decoupled tracking-by-detection online paradigm …
FFTransMOT: Feature-Fused Transformer for Enhanced Multi-Object Tracking
X Hu, Y Jeon, J Gwak - IEEE Access, 2023 - ieeexplore.ieee.org
In the field of computer vision, multi-object tracking (MOT) is a crucial task. It involves the
identification, tracking, and classification of multiple objects in videos, connecting their …
identification, tracking, and classification of multiple objects in videos, connecting their …
[HTML][HTML] Automated Car Damage Assessment Using Computer Vision: Insurance Company Use Case
SA Pérez-Zarate, D Corzo-García, JL Pro-Martín… - Applied Sciences, 2024 - mdpi.com
Automated car damage detection using computer vision techniques has been studied using
several datasets, but real cases for insurance companies are usually dependent on private …
several datasets, but real cases for insurance companies are usually dependent on private …
Tell 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 …
an arbitrary number of targets based on a language expression and continuously track them …
Temporal-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 …
an arbitrary number of target objects and maintain their identities referred by a language …
Multi-granularity Localization Transformer with Collaborative Understanding for Referring Multi-Object Tracking
As an essential component of Vision-Based Measurement (VBM), Referring Multi-Object
Tracking (RMOT) involves localizing and tracking specific objects in video frames using …
Tracking (RMOT) involves localizing and tracking specific objects in video frames using …
Computer Vision for Primate Behavior Analysis in the Wild
Advances in computer vision as well as increasingly widespread video-based behavioral
monitoring have great potential for transforming how we study animal cognition and …
monitoring have great potential for transforming how we study animal cognition and …
WDTtrack: tracking multiple objects with indistinguishable appearance and irregular motion
Z Zhao, J Wu, R Zhi - Applied Intelligence, 2024 - Springer
With the surge in object detection, Multi-Object Tracking (MOT) research has recently
witnessed significant advancements. However, most previous studies have primarily …
witnessed significant advancements. However, most previous studies have primarily …