Learning Consistency From High-Confidence Pseudo-Labels for Weakly Supervised Object Localization
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3246259
Abstract: Weakly supervised object localization (WSOL) tasks aim to classify and locate a single object under the supervision of only image-level labels. Pseudo-supervised learning methods have been shown to be effective for WSOL. These methods divide… read more here.
Keywords: localization; confidence pseudo; pseudo labels; pseudo ... See more keywords
An Audio Copy-Move Forgery Localization Model by CNN-Based Spectral Analysis
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DOI: 10.3390/app14114882
Abstract: In audio copy-move forgery forensics, existing traditional methods typically first segment audio into voiced and silent segments, then compute the similarity between voiced segments to detect and locate forged segments. However, audio collected in noisy… read more here.
Keywords: copy move; audio copy; move forgery; localization model ... See more keywords