2 citations · 2 across the 1 of their papers we have counts for
8 papers
Towards Sustainable Self-supervised Learning
Shanghua Gao, Pan Zhou, Ming-Ming Cheng +1
Although increasingly training-expensive, most self-supervised learning (SSL) models have repeatedly been trained from scratch but not fully utilized, since only a few SOTAs are em…
Global2Local: Efficient Structure Search for Video Action Segmentation
Shang-Hua Gao, Qi Han, Zhong-Yu Li +3
Temporal receptive fields of models play an important role in action segmentation. Large receptive fields facilitate the long-term relations among video clips while small receptive…
Highly Efficient Salient Object Detection with 100K Parameters
Shang-Hua Gao, Yong-Qiang Tan, Ming-Ming Cheng +3
Salient object detection models often demand a considerable amount of computation cost to make precise prediction for each pixel, making them hardly applicable on low-power devices…
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…
Bifocal-Lens Antenna Based OAM Communications System
Shanghua Gao, Wenchi Cheng, Wei Zhang +1
Orbital angular momentum (OAM) based radio vortex wireless communications have received much attention recently because it can significantly increase the spectrum efficiency. The u…
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…