Context-guided feature enhancement network for automatic check-out
Sign Up to like & getrecommendations! Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-021-06394-9
Abstract: Powered by deep learning technology, automatic check-out (ACO) has made great breakthroughs. Nevertheless, because of the complex nature of real scenes, ACO is still an exceedingly testing task in the field of computer vision. Existing… read more here.
Keywords: feature; context; context guided; guided feature ... See more keywords
AFI-Net: Attention-Guided Feature Integration Network for RGBD Saliency Detection
Sign Up to like & getrecommendations! Published in 2021 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2021/8861446
Abstract: This article proposes an innovative RGBD saliency model, that is, attention-guided feature integration network, which can extract and fuse features and perform saliency inference. Specifically, the model first extracts multimodal and level deep features. Then,… read more here.
Keywords: saliency; afi net; guided feature; attention ... See more keywords
Object Detection by Attention-Guided Feature Fusion Network
Sign Up to like & getrecommendations! Published in 2022 at "Symmetry"
DOI: 10.3390/sym14050887
Abstract: One of the most noticeable characteristics of security issues is the prevalence of “Security Asymmetry”. The safety of production and even the lives of workers can be jeopardized if risk factors aren’t detected in time.… read more here.
Keywords: fusion network; feature fusion; attention guided; detection ... See more keywords