Improving Dendritic Neuron Model With Dynamic Scale-Free Network-Based Differential Evolution
Sign Up to like & getrecommendations! Published in 2022 at "IEEE/CAA Journal of Automatica Sinica"
DOI: 10.1109/jas.2021.1004284
Abstract: Some recent research reports that a dendritic neuron model (DNM) can achieve better performance than traditional artificial neuron networks (ANNs) on classification, prediction, and other problems when its parameters are well-tuned by a learning algorithm.… read more here.
Keywords: network based; free network; dynamic scale; scale free ... See more keywords
DHNet: Salient Object Detection With Dynamic Scale-Aware Learning and Hard-Sample Refinement
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3183641
Abstract: During the annotation procedure of salient object detection, researchers usually locate the approximate location of the salient objects first and then process the pixels that need to be finely annotated. Following this idea, we find… read more here.
Keywords: hard sample; scale aware; salient object; dynamic scale ... See more keywords
Salient Object Detection via Dynamic Scale Routing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3214332
Abstract: Recent research advances in salient object detection (SOD) could largely be attributed to ever-stronger multi-scale feature representation empowered by the deep learning technologies. The existing SOD deep models extract multi-scale features via the off-the-shelf encoders… read more here.
Keywords: salient object; scale; scale routing; dynamic scale ... See more keywords