Toward practical weakly supervised semantic segmentation via point-level supervision

J Fan, Z Zhang - International Journal of Computer Vision, 2023 - Springer
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 …

Weakly supervised skin lesion segmentation based on spot‐seeds guided optimal regions

Z Al‐Huda, Y Yao, J Yao, B Peng… - IET Image …, 2023 - Wiley Online Library
Automatic skin lesion segmentation is the most critical and relevant task in computer‐aided
skin cancer diagnosis. Methods based on convolutional neural networks (CNNs) are mainly …

A novel W13 deep CNN structure for improved semantic segmentation of multiple objects in remote sensing imagery

KM Elgamily, MA Mohamed, AM Abou-Taleb… - Neural Computing and …, 2025 - Springer
This paper proposes a novel convolutional neural network (CNN) architecture designed for
semantic segmentation in remote sensing images. The proposed W13 Net model addresses …

Bias variance Toeplitz Matrix based Shift Invariance classifier for building detection from satellite images

S Kokila, A Jayachandran - Remote Sensing Applications: Society and …, 2023 - Elsevier
Buildings are a predominant category in man made objects of satellite images. As far as
issues like building planning and shape of the building in satellite images plays a …

Weakly Supervised Semantic Segmentation with Consistency-Constrained Multi-Class Attention for Remote Sensing Scenes

J Zhang, Q Zhang, Y Gong, J Zhang… - … on Geoscience and …, 2024 - ieeexplore.ieee.org
Obtaining image-level class labels for remote sensing (RS) images is a relatively
straightforward process, sparking significant interest in weakly supervised semantic …

Semantic Image Segmentation Based on Superpixel-pooling DCNN with Random Walks on Graph and Application to Intrusion Detection of Railway

W Fuzhi, S Changlin - IEEE Access, 2024 - ieeexplore.ieee.org
Deep convolutional neural networks (DCNN) has recently significantly pushed the state of
the art of semantic image segmentation. However, as the network depth increases, the …

Integrating attention mechanism and boundary detection for building segmentation from remote sensing images

P Liu, Y Gao, X Zheng, H Wang, Y Zhao… - Frontiers in …, 2025 - search.proquest.com
Accurate building segmentation has become critical in various fields such as urban
management, urban planning, mapping, and navigation. With the increasing diversity in the …

Discrete Wavelet Analysis: A Mighty Approach for Image Segmentation

M Wu, Y Hou - EAI Endorsed Transactions on e-Learning, 2023 - publications.eai.eu
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 …

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 …