(1)Co-Salient Object Detection问题定义 协同显著性检测问题:在一组相关的图片中,检测出同时出现的显著性物体。 CoSOD相较于典型的SOD任务来说,更具有挑战性,因为CoSOD需要在其他目标存在的情况下,仅检测出在多张图片中同时出现的目标。 (2)之前CoSOD方法存在问题 之前大部分的CoSOD问题主要利用的是在一个组内...
《Group Collaborative Learning for Co-Salient Object Detection》——CVPR2021 Co-salient object detection,程序员大本营,技术文章内容聚合第一站。
this leads to data selection bias [Salient objects in clutter: Bringing salient object detection to the foreground], [Unbiased look at dataset bias] and is not always appropriate,since, in real-world applications, the salient objects in a
Co-Salient Object Detection with Uncertainty-aware Group Exchange-Masking Yang Wu1 Huihui Song1∗ Bo Liu2 Kaihua Zhang1 Dong Liu3 1B-DAT and CICAEET, Nanjing University of Information Science and Technology, Nanjing, China 2Walmart Global Tech, Sunnyvale, CA, ...
This paper aims to propose a co-salient object detection model on RGBD images based on deep learning algorithm. Firstly, this paper constructs a multi-stream encoder structure which can be effectively employed to extract deep convolution featur
Co-salient object detection (Co-SOD) aims at discovering the common objects in a group of relevant images. Mining a co-representation is essential for locating co-salient objects. Unfortunately, the current Co-SOD method does not pay enough attention that the information not related to the co-...
Memory-aided Contrastive Consensus Learning for Co-salient Object Detection 上传人:leo_wyoming · 上传时间:2024-11-10 0% 0% 0% 0%0%继续阅读 VIP精选文档 11 2009年高考陕西文科数学卷解析 7 机械社区关于步进电机的讨论 9 安信证券-估值与盈利监测周报-091227 6 江苏省海门中学2008-2009学年度第二学期...
Co-Salient Object Detection (CoSOD) aims at detecting common salient objects within a group of relevant source images. Most of the latest works employ the attention mechanism for finding common objects. To achieve accurate CoSOD results with high-quality maps and high efficiency, we propose a no...
Re-thinking Co-Salient Object Detection CoSOD 是什么 应用前景 现有数据集 存在的问题 CoSOD的评估 现有评估方式的局限 CoSOD与SOD评估方式的差异 本文的贡献 CoSOD3k CoEG-Net Co-attention Projection for Co-saliency Learning 实验结果 讨论和建议 ...