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Found 2 papers, 1 papers with code
MoCha-Stereo: Motif Channel Attention Network for Stereo Matching
In addition, edge variations in %potential feature channels of the reconstruction error map also affect details matching, we propose the Reconstruction Error Motif Penalty (REMP) module to further refine the full-resolution disparity estimation.
Ranked #1 on
Stereo Depth Estimation
on KITTI 2015
HAMIL: Hierarchical Aggregation-Based Multi-Instance Learning for Microscopy Image Classification
Multi-instance learning is common for computer vision tasks, especially in biomedical image processing.
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