Abstract: Existing unsupervised video anomaly detection methods based on prediction typically employ a memory module to limit the generalization ability of the network so that normal frames can be ...
MatAnyone is a practical human video matting framework supporting target assignment, with stable performance in both semantics of core regions and fine-grained boundary details. To extract the ...
Abstract: Recently, memory-based networks have achieved promising performance for video object segmentation (VOS). However, existing methods still suffer from unsatisfactory segmentation accuracy and ...
For the first time in Burundi, video mapping took centre stage, bringing light, movement and storytelling to some of Bujumbura’s most iconic venues. Projections illuminated the walls of the historic ...
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