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Toward practical weakly supervised semantic segmentation via point-level supervision
Weakly supervised semantic segmentation (WSSS) aims to reduce the cost of collecting
dense pixel-level annotations for segmentation models by adopting weak labels to train …
dense pixel-level annotations for segmentation models by adopting weak labels to train …
Weakly Supervised Semantic Segmentation with Consistency-Constrained Multi-Class Attention for Remote Sensing Scenes
Obtaining image-level class labels for remote sensing (RS) images is a relatively
straightforward process, sparking significant interest in weakly supervised semantic …
straightforward process, sparking significant interest in weakly supervised semantic …
A novel W13 deep CNN structure for improved semantic segmentation of multiple objects in remote sensing imagery
This paper proposes a novel convolutional neural network (CNN) architecture designed for
semantic segmentation in remote sensing images. The proposed W13 Net model addresses …
semantic segmentation in remote sensing images. The proposed W13 Net model addresses …
Automated, quick, and precise building extraction from aerial images using ll-unet model
HP Koringa, MJ Patel - Radioelectronic and Computer Systems, 2024 - nti.khai.edu
The subject matter of this article is the detection and semantic segmentation of buildings
from high-resolution aerial images. It extracts building images from similar characteristics of …
from high-resolution aerial images. It extracts building images from similar characteristics of …
Discrete Wavelet Analysis: A Mighty Approach for Image Segmentation.
M Wu, Y Hou - EAI Endorsed Transactions on e-Learning, 2023 - search.ebscohost.com
This paper explores the application of Discrete Wavelet Analysis, a mathematical and signal
processing technique, in the context of image segmentation, which provide a pixel-level or …
processing technique, in the context of image segmentation, which provide a pixel-level or …