Underwater semantic segmentation is essential for marine ecosystem monitoring, yet remains challenging due to severe visual degradation. Light absorption and scattering often lead to color shifts, low contrast, and blurred boundaries, making shallow detail features unreliable. Existing underwater segmentation methods i...
Contextual image misuse pairs an image with a misleading claim. We study image-claim correspondence in fact-checked pairs containing out-of-context reuse, visual manipulation, or both. Existing pair-based detectors often compress the two modalities into a global compatibility score or learn a highly flexible interactio...
Xin-Jin Li, Lian Lian, Yuan-Zhe Yang et al.· 0 citations
A block-specific, GAUDI-aligned conditional diffusion imputer is studied that retains temporal and feature processing, visible-value and mask conditioning, variable identity, and diffusion-step information, while suppressing absolute time-position side embeddings.
Xin-Jin Li, Yu-Di Xia, Calvin Chang Liu et al.· 0 citations
This work instantiates CHAINLSTM, a lightweight dual-task LSTM supporting per-event online detection and shows that chain-aware encoding shifts median prediction probability on path anomalies from 0.91 to 0.002, suggesting a wider separation margin for threshold-based detection.
Yi-Liu Xu, Ziwei Hong, Zhongheng Yang et al.· arXiv.org· 4 citations
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