Prognosis 发表于 2025-3-25 06:52:22
http://reply.papertrans.cn/63/6206/620550/620550_21.pngrelieve 发表于 2025-3-25 11:13:55
Weipeng Fuzzy Huang,Junjie Tao,Changbo Deng,Ming Fan,Wenqiang Wan,Qi Xiong,Guangyuan Piao睨视 发表于 2025-3-25 13:10:33
http://reply.papertrans.cn/63/6206/620550/620550_23.pngtransdermal 发表于 2025-3-25 19:41:07
Firas Laakom,Jenni Raitoharju,Alexandros Iosifidis,Moncef Gabbouj证实 发表于 2025-3-25 22:32:10
Srinivas Anumasa,Geetakrishnasai Gunapati,P. K. Srijithprolate 发表于 2025-3-26 03:20:24
http://reply.papertrans.cn/63/6206/620550/620550_26.pngIngrained 发表于 2025-3-26 06:15:55
DCID: Deep Canonical Information Decompositionquantifying 3 aspects of the learned shared features. We further propose Deep Canonical Information Decomposition (DCID) - a simple, yet effective approach for learning the shared variables. We benchmark the models on a range of scenarios on synthetic data with known ground-truths and observe DCID oArthritis 发表于 2025-3-26 10:41:25
http://reply.papertrans.cn/63/6206/620550/620550_28.pngAWRY 发表于 2025-3-26 15:20:17
http://reply.papertrans.cn/63/6206/620550/620550_29.png嬉耍 发表于 2025-3-26 17:09:40
Make a Long Image Short: Adaptive Token Length for Vision Transformersngth Assigner (TLA) that allocates the optimal token length for each image during inference. The TLA enables ReViT to process images with the minimum sufficient number of tokens, reducing token numbers in the ViT model and improving inference speed. Our approach is general and compatible with modern