3. Problem Statement 本文主要解决的问题是Co-Salient Object Detection。 (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。 (...
《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。
The explicitly extracted edge information goes together with saliency to give more emphasis to the salient regions and object boundaries. Depth and saliency learning is innovatively integrated into the high-level feature learning process in a mutual-benefit manner. This strategy enables the network to ...
《Weakly Supervised Video Salient Object Detection》阅读理解 转载请注明出处。 作者:Wangbo Zhao,Jing Zhang, Long Li, Nick Barnes, Nian Liu, Junwei Han 论文链接:[2104.02391] Weakly Supervised Video Salient Object Detection (arxiv.org) 2021 CVPR 论文提出了第一个基于重新... ...
This repo is the official implementation of "GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector" (T-PAMI 2023).Note that this work has more than 70% new staff (methods, discussion, etc.) and much better performance compared with the GCoNet (the conference version).Authors...
Each representation has its own strengths and weaknesses, restricting some interactions and making some information more salient than other information (Suthers et al., 2001). The issue is to identify and enhance a particular representation and guide the dynamics of that type of collaboration. ...
Recent advancement in deep learning models makes object detection [18]-[24], and object tracking [25]-[28] and [29] methods more robust, efficient in terms of computation speed and accuracy. The key advantages of these models are automatic selection of most salient features of objects and ...
A) Verb: each image is paired with a verb. In the annotation file, "verb" denotes the salient action for an image. B) Frame: a frame denotes the set of semantic roles for a verb. For example, the frame for verb "Drinking" denotes the set of semantic roles "Agent", "Liquid", "...
Collaborative Learning for Weakly Supervised Object Detection 算法笔记,程序员大本营,技术文章内容聚合第一站。
In the following, we point toward some broader questions for future research that were less salient in our discussion but that may be just as important. First, some observers have expressed concerns regarding the scalability of the crowd science approach. After all, if 800,000 people participate...