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Found 4 papers, 2 papers with code
Digging Into Normal Incorporated Stereo Matching
To enhance geometric consistency, especially in low-texture regions, the estimated normal map is then leveraged to calculate a local affinity matrix, providing the residual learning with information about where the correction should refer and thus improving the residual learning efficiency.
RGM: A Robust Generalizable Matching Model
Finding corresponding pixels within a pair of images is a fundamental computer vision task with various applications.
DAVOS: Semi-Supervised Video Object Segmentation via Adversarial Domain Adaptation
Domain shift has always been one of the primary issues in video object segmentation (VOS), for which models suffer from degeneration when tested on unfamiliar datasets.
EDNet: Efficient Disparity Estimation with Cost Volume Combination and Attention-based Spatial Residual
Existing state-of-the-art disparity estimation works mostly leverage the 4D concatenation volume and construct a very deep 3D convolution neural network (CNN) for disparity regression, which is inefficient due to the high memory consumption and slow inference speed.
