strdulate
发表于 2025-3-30 08:39:24
,WeConvene: Learned Image Compression with Wavelet-Domain Convolution and Entropy Model,rser in DWT domain. We also propose a .av.let-domain .annel-wise .uto-.egressive entropy .odel (WeChARM), where the output latent representations from the encoder network are first transformed by the DWT, before applying quantization and entropy coding, as in the traditional paradigm. Moreover, the
停止偿付
发表于 2025-3-30 13:49:29
,Grid-Attention: Enhancing Computational Efficiency of Large Vision Models Without Fine-Tuning,MHA to enhance the large vision models’ computational efficiency and preserve their performance without the need for re-training or fine-tuning their parameters. We conduct extensive experiments on recent high-resolution tasks, including zero-shot instance segmentation (SAM, Expedit-SAM), text-to-im
Outspoken
发表于 2025-3-30 19:27:55
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notion
发表于 2025-3-30 20:43:41
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subordinate
发表于 2025-3-31 02:24:48
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疏忽
发表于 2025-3-31 06:30:42
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陈腐的人
发表于 2025-3-31 10:33:55
,Learning by Aligning 2D Skeleton Sequences and Multi-modality Fusion,nsive evaluations on three public datasets, i.e., Penn Action, IKEA ASM, and H2O, demonstrate that our approach outperforms previous methods in different fine-grained human activity understanding tasks. Finally, fusing 2D skeleton heatmaps with RGB videos yields the state-of-the-art on all metrics a
bronchodilator
发表于 2025-3-31 13:23:42
,Object-Oriented Anchoring and Modal Alignment in Multimodal Learning,ile also preserving explicit semantics for modality interactions. Additionally, we design fine-grained token-level asymmetry alignment between modalities and multiview mining to promote modality alignment. To the best of our knowledge, we are the first to apply object-oriented tokens in multimodal p
光滑
发表于 2025-3-31 19:45:27
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指耕作
发表于 2025-4-1 01:44:48
,FYI: Flip Your Images for Dataset Distillation,ue for dataset distillation, dubbed FYI, that enables distilling rich semantics of real images into synthetic ones. To this end, FYI embeds a horizontal flipping technique into distillation processes, mitigating the influence of the bilateral equivalence, while capturing more details of objects. Exp