Discriminative feature learning and region consistency activation for robust scene labeling
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.03.019
Abstract: This paper presents a learned feature based framework for both outdoor and indoor scene labeling. This framework is combined with a discriminative feature learning process to produce the posteriors of every pixel and a novel… read more here.
Keywords: feature learning; scene; discriminative feature; scene labeling ... See more keywords
FCHP: Exploring the Discriminative Feature and Feature Correlation of Feature Maps for Hierarchical DNN Pruning and Compression
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3170620
Abstract: Pruning can remove the redundant parameters and structures of Deep Neural Networks (DNNs) to reduce inference time and memory overhead. As one of the important components of DNN, feature maps (FMs) have been widely used… read more here.
Keywords: feature; discriminative feature; feature correlation; feature maps ... See more keywords
Discriminative Feature Learning Framework With Gradient Preference for Anomaly Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3228007
Abstract: Unsupervised anomaly detection methods can detect product defects in industrial images by leveraging only normal samples during model training. Currently, the representation-based method, as a popular unsupervised anomaly detection method, has achieved impressive performance. Extracting… read more here.
Keywords: discriminative feature; detection; anomaly detection; feature learning ... See more keywords
Discriminative Feature Representation to Improve Projection Data Inconsistency for Low Dose CT Imaging
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2017.2739841
Abstract: In low dose computed tomography (LDCT) imaging, the data inconsistency of measured noisy projections can significantly deteriorate reconstruction images. To deal with this problem, we propose here a new sinogram restoration approach, the sinogram- discriminative… read more here.
Keywords: low dose; feature; data inconsistency; discriminative feature ... See more keywords