ELR-Net: An Enhancement and Location-Refinement Network for Co-Saliency Detection. Abstract: Co-salient object detection is a challenging task, which aims to segment the co-occurring salient objects in multiple images at the same time.
Abstract—Co-salient object detection is a challenging task, which aims to segment the co-occurring salient objects in multiple images at the same time.
We propose an end-to-end Enhancement Location-Refinement Network (ELR-Net) to capture both salient and repetitive visual patterns from multiple images.
ELR-Net: An Enhancement and Location-Refinement Network for Co-Saliency Detection · Computer Science. 2021 IEEE International Conference on Big Data… · 2021.
ELR-Net: An Enhancement and Location-Refinement Network for Co-Saliency Detection ... (ELR-Net), which outperforms 9 cutting-edge models and achieves state ...
Co-saliency detection aims to detect common salient objects from a group of relevant images. Some attempts have been made with the Fully ...
It predicts co-saliency map by optimizing co-saliency label prorogation over a graph of both labeled and unlabeled image regions. The graph structure is ...
Co-saliency detection aims to detect salient regions from a set of ... ELR-Net: An Enhancement and Location-Refinement Network for Co-Saliency Detection.
ELR-Net: An Enhancement and Location-Refinement Network for Co-Saliency Detection ... detectors and an effective scheme to detect targets from testing images.
Jun 27, 2019 · In this paper, we propose a Region Refinement Network (RRN), which recurrently filters redundant information and explicitly models boundary information for ...
Missing: ELR- Net: Location- Co-