Unsupervised video object segmentation with motion-based bilateral networks

S Li, B Seybold, A Vorobyov, X Lei… - Proceedings of the …, 2018 - openaccess.thecvf.com
In this work, we study the unsupervised video object segmentation problem where moving
objects are segmented without prior knowledge of these objects. First, we propose a motion …

Learning discriminative region representation for person retrieval

Y Zhao, X Yu, Y Gao, C Shen - Pattern Recognition, 2022 - Elsevier
Region-level representation learning plays a key role in providing discriminative information
for person retrieval. Current methods rely on heuristically coarse-grained region strips or …

Review of the application of machine learning to the automatic semantic annotation of images

A Olaode, G Naghdy - IET Image Processing, 2019 - Wiley Online Library
The massive amount of digital content generated daily in the modern world has created the
need for an image retrieval system built on image analysis via image processing and …

Unsupervised video object segmentation with distractor-aware online adaptation

Y Wang, J Choi, Y Chen, S Li, Q Huang… - Journal of Visual …, 2021 - Elsevier
Unsupervised video object segmentation is a crucial application in video analysis when
there is no prior information about the objects. It becomes tremendously challenging when …

Design pseudo ground truth with motion cue for unsupervised video object segmentation

Y Wang, J Choi, Y Chen, Q Huang, S Li, MS Lee… - Asian Conference on …, 2018 - Springer
One major technique debt in video object segmentation is to label the object masks for
training instances. As a result, we propose to prepare inexpensive, yet high quality pseudo …

[PDF][PDF] Segmentation based Image Retrieval using Low level image features

A Huang - theses.liacs.nl
Retrieving images based on content is increasingly becoming more useful due to the
volume of images available and the absence of human labour to correctly label these …

[SITAT][C] 基于多尺度语义编解码网络的遥感图像语义分割

梁燕, 易春霞, 王光宇, 胡跃辉 - 电子学报, 2023