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Found 4 papers, 3 papers with code
OMG: Observe Multiple Granularities for Natural Language-Based Vehicle Retrieval
For the textual representation, one global embedding, three local embeddings and a color-type prompt embedding are extracted to represent various granularities of semantic features.
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.
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.
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