GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.
The proposed model outperforms state-of-the-art models on five popular SOD datasets, demonstrating the advanced performance of this network. Code released: https://github.com/user-wu/SwinSOD .doi:10.1016/j.imavis.2024.105039Shuang WuGuangjian ZhangXuefeng LiuImage and Vision Computing...
2023TMMS3Net: Self-Supervised Self-Ensembling Network for Semi-Supervised RGB-D Salient Object Detection Lei Zhu; Xiaoqiang Wang; Ping Li; Xin Yang; Qing Zhang; Weiming Wang; Carola-Bibiane Schönlieb; C. L. Philip ChenPaper/Code 2023NeurocomDual Swin-Transformer based Mutual Interactive Networ...
5.1.2Salient object detection Sometimes instead of detecting a particular object within an image, we look for the most noticeable segment i.e. salient part, referred to assalient object detection. Based on whether low level or high level features are used by the algorithm, we categorised the ...
论文:https://arxiv.org/pdf/2408.04326 代码:https://github.com/BellyBeauty/MDSAM论文的研究动机就是使用SAM来解决显著性检测(SOD)问题,主要有两个改进: 提出了Lightweight Multi-Scale Adapter, LMSA来…
题目:基于层次交替交互网络的RGB-D显著目标检测文章地址:https://ieeexplore.ieee.org/document/9371407项目code:https://github.com/MathLee/HAINet 问题:摘要现有的RGB-D目标检测(显著性目标检测)方法利用深…
Wang. Deepsaliency: Multi-task deep neu- ral network model for salient object detection. IEEE Trans- actions on Image Processing, 25(8):3919 – 3930, 2016. https://github.com/zlmzju/DeepSaliency. 6, 8 [34] Y. Li, X. Hou, C. Koch, J. M. Rehg, and A. L. Yuille. The ...
【ACMMM2024】Multi-Scale and Detail-Enhanced Segment Anything Model for Salient Object Detection 论文:https://arxiv.org/pdf/2408.04326 代码:https://github.com/BellyBeauty/MDSAM 论文的研究动机就是使用SAM来解决显著性检测(SOD)问题,主要有两个改进:...
Code Edit AddRemoveMark official liuyi1989/seamless-detectionofficial 3 Datasets Edit Results from the Paper Edit Submitresults from this paperto get state-of-the-art GitHub badges and help the community compare results to other papers. Methods ...
Recently, unsupervised salient object detection (USOD) has gained increasing attention due to its annotation-free nature. However, current methods mainly focus on specific tasks such as RGB and RGB-D, neglecting the potential for task migration. In this paper, we propose a unified USOD framework...