Search Results for author:
Found 6 papers, 4 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 Disparity Estimation
on KITTI 2015
SpirDet: Towards Efficient, Accurate and Lightweight Infrared Small Target Detector
To tackle this challenge, we propose SpirDet, a novel approach for efficient detection of infrared small targets.
Shadow Removal of Text Document Images Using Background Estimation and Adaptive Text Enhancement
Thirdly, we propose an adaptive text contrast enhancement strategy to generate shadow-free results with comfortable visual perception across shadow and non-shadow regions.
A Survey on Masked Facial Detection Methods and Datasets for Fighting Against COVID-19
Representative algorithms are described in detail, coupled with some typical techniques that are described briefly.
Local Water-Filling Algorithm for Shadow Detection and Removal of Document Images
The proposed method can remove the shading artifacts and outperform some state-of-the-art methods, especially for the removal of shadow boundaries.
An Effective Background Estimation Method for Shadows Removal of Document Images
This paper proposes an effective method to remove shadows from the single document images, which contains two stages: shadow detection and shadow removal.
