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Found 4 papers, 1 papers with code
STAR-GNN: Spatial-Temporal Video Representation for Content-based Retrieval
It models a video with a lattice feature graph in which the nodes represent regions of different granularity, with weighted edges that represent the spatial and temporal links.
InvisibiliTee: Angle-agnostic Cloaking from Person-Tracking Systems with a Tee
After a survey for person-tracking system-induced privacy concerns, we propose a black-box adversarial attack method on state-of-the-art human detection models called InvisibiliTee.
Modality-Balanced Embedding for Video Retrieval
This modality imbalanceresults from a) modality gap: the relevance between a query and a video text is much easier to learn as the query is also a piece of text, with the same modality as the video text; b) data bias: most training samples can be solved solely by text matching.
Unsupervised Adversarial Attacks on Deep Feature-based Retrieval with GAN
Such tendency indicates that the model indeed learned how to toy with both image retrieval systems and human eyes.
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