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
Boundary-Guided Feature-Aligned Network for Colorectal Polyp Segmentation
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2025.3542969
Abstract: Colorectal polyp segmentation in endoscopic images is very important for the prevention and treatment of colorectal cancer. Because of the high similarity between polyps and their surrounding tissues, most deep neural network (DNN) based methods… read more here.
Keywords: segmentation; boundary guided; guided feature; polyp segmentation ... See more keywords
CORE: CORrelation-Guided Feature Enhancement for Few-Shot Image Classification
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2024.3355774
Abstract: Few-shot classification aims to adapt classifiers trained on base classes to novel classes with a few shots. However, the limited amount of training data is often inadequate to represent the intraclass variations in novel classes.… read more here.
Keywords: classification; guided feature; feature enhancement; feature ... See more keywords
A Real-Time Defect Detector With Content-Guided Feature Extraction and Detail Enhancement.
Sign Up to like & getrecommendations! Published in 2025 at "Annals of the New York Academy of Sciences"
DOI: 10.1111/nyas.70123
Abstract: Surface defect detection in industrial materials faces two main challenges: complex backgrounds and missed small defects. To address these problems, this paper presents CGRNet, an efficient real‐time detector. CGRNet introduces a content‐guided feature extraction network… read more here.
Keywords: real time; time; detail enhancement; 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