4 papers
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…
High Efficiency and Low Distortion Photoacoustic Effect in 3D Graphene Sponge
Flavio Giorgianni, Carlo Vicario, Mostafa Shalaby +7
The conversion of light in sound plays a crucial role in spectroscopy, applied physics, and technology. In this paper, light sound conversion in 3D graphene sponge through a photot…
Optimizing the F-measure for Threshold-free Salient Object Detection
Kai Zhao, Shanghua Gao, Wenguan Wang +1
Current CNN-based solutions to salient object detection (SOD) mainly rely on the optimization of cross-entropy loss (CELoss). Then the quality of detected saliency maps is often ev…
Macroscopic and direct light propulsion of bulk graphene material
Tengfei Zhang, Huicong Chang, Yingpeng Wu +10
It has been a great challenge to achieve the direct light manipulation of matter on a bulk scale. In this work, the direct light propulsion of matter was observed on a macroscopic…