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Found 6 papers, 4 papers with code
1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results
The 1$^{\text{st}}$ Workshop on Maritime Computer Vision (MaCVi) 2023 focused on maritime computer vision for Unmanned Aerial Vehicles (UAV) and Unmanned Surface Vehicle (USV), and organized several subchallenges in this domain: (i) UAV-based Maritime Object Detection, (ii) UAV-based Maritime Object Tracking, (iii) USV-based Maritime Obstacle Segmentation and (iv) USV-based Maritime Obstacle Detection.
PAMI-AD: An Activity Detector Exploiting Part-attention and Motion Information in Surveillance Videos
In this work, we propose a comprehensive and effective activity detection system in untrimmed surveillance videos for person-centered and vehicle-centered activities.
StrongSORT: Make DeepSORT Great Again
As a result, the construction of a good baseline for a fair comparison is essential.
Ranked #7 on
Multi-Object Tracking
on MOT17
(using extra training data)
GIAOTracker: A comprehensive framework for MCMOT with global information and optimizing strategies in VisDrone 2021
In recent years, algorithms for multiple object tracking tasks have benefited from great progresses in deep models and video quality.
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results
Crowd counting on the drone platform is an interesting topic in computer vision, which brings new challenges such as small object inference, background clutter and wide viewpoint.
Scale Aggregation Network for Accurate and Efficient Crowd Counting
In this paper, we propose a novel encoder-decoder network, called extit{Scale Aggregation Network (SANet)}, for accurate and efficient crowd counting.
Ranked #6 on
Crowd Counting
on WorldExpo’10
