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Shanghua Gao
Researcher at Nankai University
Publications - 19
Citations - 2326
Shanghua Gao is an academic researcher from Nankai University. The author has contributed to research in topics: Computer science & Wireless. The author has an hindex of 9, co-authored 13 publications receiving 947 citations. Previous affiliations of Shanghua Gao include Xidian University.
Papers
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Journal ArticleDOI
Res2Net: A New Multi-Scale Backbone Architecture
TL;DR: Res2Net as mentioned in this paper constructs hierarchical residual-like connections within one single residual block to represent multi-scale features at a granular level and increases the range of receptive fields for each network layer.
Book ChapterDOI
Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground
TL;DR: This work identifies a serious design bias of existing SOD datasets which assumes that each image contains at least one clearly outstanding salient object in low clutter, and proposes a new high quality dataset and updates the previous saliency benchmark.
Book ChapterDOI
Highly Efficient Salient Object Detection with 100K Parameters
TL;DR: This paper proposes a flexible convolutional module, namely generalized OctConv (gOctConv), to efficiently utilize both in-stage and cross-stages multi-scale features, while reducing the representation redundancy by a novel dynamic weight decay scheme.
Journal ArticleDOI
Orbital Angular Momentum for Wireless Communications
TL;DR: In this article, the fundamental theory of OAM and the OAM-based wireless communications is introduced and the research challenges regarding OAM signal generation, OAM beam converging, and OAM reception are discussed.
Proceedings ArticleDOI
Optimizing the F-Measure for Threshold-Free Salient Object Detection
TL;DR: The relaxed F-measure is proposed which is differentiable w.r.t the posterior and can be easily appended to the back of CNNs as the loss function, named FLoss, which can continuously force the network to produce polarized activations.