CoLo-CAM introduces a novel method for weakly supervised video object localization that leverages spatiotemporal information without constraining object movement. The method focuses on co-localization by jointly learning class activation maps across multiple frames, assuming objects maintain similar colors locally. By minimizing a color-only CRF loss over all frames, the method achieves consistent localization performance. Extensive experiments on challenging datasets demonstrate the effectiveness and robustness of CoLo-CAM, leading to state-of-the-art performance for weakly supervised video object localization tasks.
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by Soufiane Bel... at arxiv.org 02-29-2024
https://arxiv.org/pdf/2303.09044.pdfDeeper Inquiries