Search Results for author:
Found 2 papers, 2 papers with code
UACANet: Uncertainty Augmented Context Attention for Polyp Segmentation
We construct a modified version of U-Net shape network with additional encoder and decoder and compute a saliency map in each bottom-up stream prediction module and propagate to the next prediction module.
Ranked #8 on
Medical Image Segmentation
on ETIS-LARIBPOLYPDB
Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network
Recent studies in image classification have demonstrated a variety of techniques for improving the performance of Convolutional Neural Networks (CNNs).
Ranked #1 on
Fine-Grained Image Classification
on SOP
Fine-Grained Image Classification
Fine-Grained Visual Recognition
+4
