@inproceedings{vu2018advent, title={ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation}, author={Vu, Tuan-Hung and Jain, Himalaya and Bucher, Maxime and Cord, ...
Abstract: Semantic segmentation is one of the fundamental tasks of pixel-level remote sensing image analysis. Currently, most high-performance semantic segmentation methods are trained in a supervised ...
Abstract: One-shot semantic segmentation poses the challenging task of segmenting object regions from unseen categories with only one annotated example as guidance. Thus, how to effectively construct ...
Segmentation and classification are fundamental tasks in image processing and computer vision. In addition to having ubiquitous applications in a variety of different fields, segmentation and ...
SOLO is a flexible framework for instance segmentation that categorises each pixel based on its location and size. Introduced by researchers from The University of Adelaide and ByteDance AI Lab, SOLO ...
Various pre-trained deep learning models for the segmentation of bioimages have been made available as developer-to-end-user solutions. They are optimized for ease of use and usually require neither ...
1 Oceanography Department, Geoscience Institute of the Federal University of Bahia (UFBA), Salvador, Brazil. 2 Earth and Environmental Physics Department, Physics Institute of the Federal University ...
Copyright: © 2020 The Author(s). Published by Elsevier Ltd.
一些您可能无法访问的结果已被隐去。
显示无法访问的结果