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The main point of the task is to estimate a pixel-wise displacement map also known as disparity that can be used to determine the depth of the pixels in the ...
High-frequency Stereo Matching Network · Software Requirements (Recommended) · Required Data · Build Sampler (Optional) · Train · Evaluate · Pretrained Weights.
We propose the Decouple module to alleviate the problem of data coupling and allow features containing subtle details to transfer across the iterations which ...
We propose the Decouple module to alleviate the problem of data coupling and allow features containing subtle details to transfer across the iterations which ...
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Mar 1, 2024 · The SRU empowers the network to aggregate hidden disparity information across multiple frequencies, mitigating the risk of vital hidden ...
Stereo matching is one of the most important problems in the field of computer vision (Hoff & Ahuja, 1989;Kang et al., 1995;Scharstein & Szeliski, ...
Mar 23, 2024 · Connected Papers is a visual tool to help researchers and applied scientists find academic papers relevant to their field of work.
Mar 1, 2024 · The SRU empowers the network to aggregate hidden disparity information across multiple frequencies, mitigating the risk of vital hidden ...
Stereo matching methods based on iterative optimization, like RAFT-Stereo and IGEV-Stereo, have evolved into a cor- nerstone in the field of stereo matching ...