Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Mingxing Duanmu"'
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 32:3644-3658
Real-world scenes always exhibit objects with clutter backgrounds, posing great challenges for deep salient object detection models. In this paper, we propose salient object detection by engaging two saliency cues, i.e., the part-whole hierarchies an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60361db5ffdb8e866a8a40e46094de04
https://doi.org/10.1109/tcsvt.2021.3104932
https://doi.org/10.1109/tcsvt.2021.3104932
Publikováno v:
Neurocomputing. 428:92-103
Contextual information has played an important role in salient object detection. However, due to the fixed geometric structures of convolution kernels employed by existing Convolutional Neural Networks (CNNs) based methods, it is difficult to extract
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2bb98d45f73e73b96da371c81dc95a6
https://doi.org/10.1016/j.neucom.2020.11.022
https://doi.org/10.1016/j.neucom.2020.11.022