ODIUM
发表于 2025-3-25 03:53:07
https://doi.org/10.1007/978-3-031-19797-0Computer Science; Informatics; Conference Proceedings; Research; Applications
肮脏
发表于 2025-3-25 08:12:05
978-3-031-19796-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
Chipmunk
发表于 2025-3-25 12:42:13
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/234250.jpg
ANTIC
发表于 2025-3-25 18:37:41
https://doi.org/10.1007/978-3-642-71319-4 quantization to compress SR models. However, these methods suffer from severe performance degradation when quantizing the SR models to ultra-low precision (., 2-bit and 3-bit) with the low-cost layer-wise quantizer. In this paper, we identify that the performance drop comes from the contradiction b
placebo
发表于 2025-3-25 20:54:52
https://doi.org/10.1007/978-3-642-71319-4esign a . (LST) to obtain the location label and instance-aware parameters by introducing the location-guided queries and the blend-convolution feed-forward network. Second, we develop a . (CFF) to merge diverse context information from the LST encoder and CNN backbone. Coupling these two components
Cholagogue
发表于 2025-3-26 02:47:06
https://doi.org/10.1007/978-3-8349-8865-2ages. To this end, we collected the first large-scale DIS dataset, called ., which contains 5,470 high-resolution (., 2K, 4K or larger) images covering ., ., or . in various backgrounds. DIS is annotated with extremely fine-grained labels. Besides, we introduce a simple intermediate supervision base
幼稚
发表于 2025-3-26 05:38:36
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不能根除
发表于 2025-3-26 11:37:16
Tsutomu Watanabe,Iichiro Uesugi,Arito Onoin transformer for high fidelity video inpainting. More specially, we design a novel flow completion network to complete the corrupted flows by exploiting the relevant flow features in a local temporal window. With the completed flows, we propagate the content across video frames, and adopt the flow
GRAZE
发表于 2025-3-26 15:36:45
Hans Degryse,Vasso Ioannidou,Steven Ongenalignment error that is imperceptible to the human eyes. This paper studies the effect of small misalignment, specifically a small shift between the input and reference image, on existing metrics, and accordingly develops a shift-tolerant similarity metric. This paper builds upon LPIPS, a widely used
生来
发表于 2025-3-26 19:13:34
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