Feb 28, 2023 · Abstract:Co-Salient Object Detection (CoSOD) aims at detecting common salient objects within a group of relevant source images.
PDF | Co-salient object detection (CoSOD) aims at detecting common salient objects within a group of relevant source images. Most of the latest works.
A novel Memory-aided Contrastive Consensus Learning (MCCL) framework, which is capable of effectively detecting co-salient objects in real time (∼150 fps), ...
Feb 7, 2023 · Co-salient object detection (CoSOD) aims at detecting common salient objects within a group of relevant source images.
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Mar 11, 2023 · Abstract. Co-Salient Object Detection (CoSOD) aims at detecting com- mon salient objects within a group of relevant source images.
Co-Salient Object Detection is a computational problem that aims at highlighting the common and salient foreground regions (or objects) in an image group.
A curated collection of co-saliency detection, including co-salient object detection, which will be kept updated.
Jun 27, 2023 · Memory-Aided Contrastive Consensus Learning for Co-salient Object Detection. Peng Zheng, Jie Qin, Shuo Wang, Tian-Zhu Xiang, Huan Xiong. 3687 ...
Memory-Aided Contrastive Consensus Learning for Co-salient Object Detection. P Zheng, J Qin, S Wang, TZ Xiang, H Xiong. AAAI 37, 3687--3695, 2023. 12, 2023.
In this paper, we propose a novel consensus-aware dynamic convolution model to explicitly and effectively perform the "summarize and search" process. 16.