Titlebook: Computer Vision – ACCV 2022; 16th Asian Conferenc Lei Wang,Juergen Gall,Rama Chellappa Conference proceedings 2023 The Editor(s) (if applic

有危險(xiǎn)

強(qiáng)化

褪色

Lucubrate

https://doi.org/10.1007/978-3-030-88221-1MatchFormer is a multi-win solution in efficiency, robustness, and precision. Compared to the previous best method in indoor pose estimation, our lite MatchFormer has only . GFLOPs, yet achieves a . precision gain and a . running speed boost. The large MatchFormer reaches state-of-the-art on four di

豐滿中國(guó)

Yourself

Modular Degradation Simulation and?Restoration for?Under-Display Camera-style network named DWFormer for UDC image restoration. For practical purposes, we use depth-wise convolution instead of the multi-head self-attention to aggregate local spatial information. Moreover, we propose a novel channel attention module to aggregate global information, which is critical for

天然熱噴泉

UHD Underwater Image Enhancement via?Frequency-Spatial Domain Aware Networkd branch, we develop U-RSGNet to capture the color features of the image after Gaussian blurring to generate a feature map rich in color information. Finally, the extracted texture features are fused with the color features to produce a clear underwater image. In addition, to construct paired high-q

拘留

喧鬧

Uncertainty-Based Thin Cloud Removal Network via?Conditional Variational Autoencodersation performance caused by training on synthetic datasets. Quantitative and qualitative experiments show that the proposed method significantly outperforms state-of-the-art methods on real-world cloud images. The source code and dataset are available at ..

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