ALLAY 发表于 2025-3-28 16:20:46
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Concluding Remarks: Reasonable Doubtlight (TL) images is emerging as a label-free, faster, low-cost alternative. However, existing approaches utilize 3D networks for one-to-one voxel level dense prediction, which necessitates a frequent and time-consuming Z-axis imaging process. Moreover, 3D convolutions inevitably lead to significant油毡 发表于 2025-3-29 05:14:19
http://reply.papertrans.cn/25/2424/242356/242356_44.pngKinetic 发表于 2025-3-29 10:36:05
https://doi.org/10.1007/978-3-642-78411-8l modalities, manual annotation, and computational constraints remain. We introduce ., a novel framework that bridges this gap by seamlessly integrating dual-modality knowledge distillation and quantization-aware contrastive learning. This approach enables the adaptation of large VL models, like CLI使痛苦 发表于 2025-3-29 14:32:54
http://reply.papertrans.cn/25/2424/242356/242356_46.pngRetrieval 发表于 2025-3-29 16:30:23
Computer Vision – ECCV 2024978-3-031-73390-1Series ISSN 0302-9743 Series E-ISSN 1611-3349自作多情 发表于 2025-3-29 21:46:52
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http://reply.papertrans.cn/25/2424/242356/242356_49.pngSputum 发表于 2025-3-30 04:18:38
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