3.5k citations · 3.5k across the 8 of their papers we have counts for
3 papers · 1 filter
AdaSample: Adaptive Sampling of Hard Positives for Descriptor Learning
Xin-Yu Zhang, Le Zhang, Zao-Yi Zheng +3
Triplet loss has been widely employed in a wide range of computer vision tasks, including local descriptor learning. The effectiveness of the triplet loss heavily relies on the tri…
Res2Net: A New Multi-scale Backbone Architecture
Shang-Hua Gao, Ming-Ming Cheng, Kai Zhao +3
Representing features at multiple scales is of great importance for numerous vision tasks. Recent advances in backbone convolutional neural networks (CNNs) continually demonstrate…
DNA: Deeply-supervised Nonlinear Aggregation for Salient Object Detection
Yun Liu, Ming-Ming Cheng, Xinyu Zhang +2
Recent progress on salient object detection mainly aims at exploiting how to effectively integrate multi-scale convolutional features in convolutional neural networks (CNNs). Many…