Search Results for author:
Found 2 papers, 1 papers with code
Reconstructed Convolution Module Based Look-Up Tables for Efficient Image Super-Resolution
To enlarge RF with contained LUT sizes, we propose a novel Reconstructed Convolution(RC) module, which decouples channel-wise and spatial calculation.
Low-Confidence Samples Mining for Semi-supervised Object Detection
Reliable pseudo-labels from unlabeled data play a key role in semi-supervised object detection (SSOD).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
