Contrastive Language-Image Pre-training (CLIP) has demonstrated impressive capabilities in zero-shot transfer but often struggles with dense prediction tasks due to low spatial resolution and the loss of structural information. To address these limitations, we propose MARS-CLIP (Multi-resolution and Attention Refined S...
Nagito Saito, Shintaro Ito, Koichi Ito et al.· International Conference on...· 0 citations
The proposed MAGE-Vein approaches extracts robust structural aging signs by employing a hybrid feature-level fusion of three fingers, effectively suppressing local imaging noise and simultaneous optimization of gender classification conditions the network to effectively eliminate gender-specific vascular variations.
Katsuki Tanaka, Koichi Ito, T. Aoki et al.· arXiv.org· 0 citations
The results indicate that a properly structured vision-only architecture can achieve state-of-the-art performance in unified FAS without the need for multimodal supervision.
Pierre Gallin-Martel, Mika Feng, Koichi Ito et al.· arXiv.org· 0 citations
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