WTS: A Weakly towards Strongly Supervised Learning Framework for Remote Sensing Land Cover Classification Using Segmentation Models

WTS: A Weakly towards Strongly Supervised Learning Framework for Remote Sensing Land Cover Classification Using Segmentation Models

Land cover classification is one of the most fundamental tasks in the field of remote sensing. In recent years, fully supervised fully convolutional network (FCN)-based semantic segmentation models have achieved state-of-the-art performance in the semantic segmentation task. However, creating pixel-...

Bibliografski detalji
Glavni autori:	Wei Zhang, Ping Tang, Thomas Corpetti, Lijun Zhao
Format:	Članak
Jezik:	English
Izdano:	MDPI AG 2021-01-01
Serija:	Remote Sensing
Teme:	land cover classification convolutional neural network segmentation model weakly supervised seeded region growing fully connected Conditional Random Fields
Online pristup:	https://www.mdpi.com/2072-4292/13/3/394

Slični predmeti

Cattle Weight Estimation Using Fully and Weakly Supervised Segmentation from 2D Images
od: Chang-bok Lee, i dr.
Izdano: (2023-02-01)

On the Effectiveness of Weakly Supervised Semantic Segmentation for Building Extraction From High-Resolution Remote Sensing Imagery
od: Zhenshi Li, i dr.
Izdano: (2021-01-01)

Weakly Supervised Deep Learning for Segmentation of Remote Sensing Imagery
od: Sherrie Wang, i dr.
Izdano: (2020-01-01)

Learning graph structures with transformer for weakly supervised semantic segmentation
od: Wanchun Sun, i dr.
Izdano: (2023-07-01)

Extracting Structured Supervision From Captions for Weakly Supervised Semantic Segmentation
od: Daniel R. Vilar, i dr.
Izdano: (2021-01-01)

Weakly-supervised convolutional neural networks of renal tumor segmentation in abdominal CTA images
od: Guanyu Yang, i dr.
Izdano: (2020-04-01)

WAILS: Watershed Algorithm With Image-Level Supervision for Weakly Supervised Semantic Segmentation
od: Hongming Zhou, i dr.
Izdano: (2019-01-01)

Going to Extremes: Weakly Supervised Medical Image Segmentation
od: Holger R. Roth, i dr.
Izdano: (2021-06-01)

Weakly Supervised Instance Segmentation Based on Two-Stage Transfer Learning
od: Yongqing Sun, i dr.
Izdano: (2020-01-01)

Weakly-Supervised Learning of a Deep Convolutional Neural Networks for Semantic Segmentation
od: Yanqing Feng, i dr.
Izdano: (2019-01-01)

Co-segmentation of 3D Point Cloud Shape Clusters Based on Weakly Supervised Learning
od: YANG Jun, LEI Xiwen
Izdano: (2022-09-01)

Polarized Attention Weak Supervised Semantic Segmentation Network
od: Min Dai, i dr.
Izdano: (2024-01-01)

Crop Organ Segmentation and Disease Identification Based on Weakly Supervised Deep Neural Network
od: Yang Wu, i dr.
Izdano: (2019-11-01)

WS-RCNN: Learning to Score Proposals for Weakly Supervised Instance Segmentation
od: Jia-Rong Ou, i dr.
Izdano: (2021-05-01)

Rethinking CAM in Weakly-Supervised Semantic Segmentation
od: Yuqi Song, i dr.
Izdano: (2022-01-01)

Weakly-Supervised Hair SEM Microscope Image Segmentation Using a Priori Structure Information
od: Xiaohu Liu, i dr.
Izdano: (2024-11-01)

Weakly Supervised Semantic Segmentation of Remote Sensing Images Using Siamese Affinity Network
od: Zheng Chen, i dr.
Izdano: (2025-02-01)

Reliable Label-Supervised Pixel Attention Mechanism for Weakly Supervised Building Segmentation in UAV Imagery
od: Jun Chen, i dr.
Izdano: (2022-07-01)

Clustering-Guided Class Activation for Weakly Supervised Semantic Segmentation
od: Yeong Woo Kim, i dr.
Izdano: (2024-01-01)

Saliency Guided Self-Attention Network for Weakly and Semi-Supervised Semantic Segmentation
od: Qi Yao, i dr.
Izdano: (2020-01-01)

Deep superpixel generation and clustering for weakly supervised segmentation of brain tumors in MR images
od: Jay J. Yoo, i dr.
Izdano: (2024-12-01)

A Survey of Weakly-supervised Image Semantic Segmentation Based on Image-level Labels
od: Xinlin XIE, i dr.
Izdano: (2021-11-01)

A Weakly Supervised Semantic Segmentation Model of Maize Seedlings and Weed Images Based on Scrawl Labels
od: Lulu Zhao, i dr.
Izdano: (2023-12-01)

Performing Weakly Supervised Retail Instance Segmentation via Region Normalization
od: Xichun Bi, i dr.
Izdano: (2021-01-01)

Infrared Ship Segmentation Based on Weakly-Supervised and Semi-Supervised Learning
od: Isa Ali Ibrahim, i dr.
Izdano: (2024-01-01)

OBBInst: Remote sensing instance segmentation with oriented bounding box supervision
od: Xu Cao, i dr.
Izdano: (2024-04-01)

Non-target feature filtering for weakly supervised semantic segmentation
od: Xuesheng Zhou, i dr.
Izdano: (2024-12-01)

Relevance maps: A weakly supervised segmentation method for 3D brain tumours in MRIs
od: Sajith Rajapaksa, i dr.
Izdano: (2022-12-01)

SAM-Induced Pseudo Fully Supervised Learning for Weakly Supervised Object Detection in Remote Sensing Images
od: Xiaoliang Qian, i dr.
Izdano: (2024-04-01)

Weakly Supervised Crop Area Segmentation for an Autonomous Combine Harvester
od: Wan-Soo Kim, i dr.
Izdano: (2021-07-01)

Scale-Aware Feature Network for Weakly Supervised Semantic Segmentation
od: Lian Xu, i dr.
Izdano: (2020-01-01)

A Novel Weakly Supervised Remote Sensing Landslide Semantic Segmentation Method: Combining CAM and cycleGAN Algorithms
od: Yongxiu Zhou, i dr.
Izdano: (2022-07-01)

Mining Cross-Domain Structure Affinity for Refined Building Segmentation in Weakly Supervised Constraints
od: Jun Zhang, i dr.
Izdano: (2022-03-01)

Weakly supervised training for eye fundus lesion segmentation in patients with diabetic retinopathy
od: Yu Li, i dr.
Izdano: (2022-03-01)

PIS-Net: Efficient weakly supervised instance segmentation network based on annotated points for rice field weed identification
od: Hao Chen, i dr.
Izdano: (2024-12-01)

Multi-Scale Classification and Contrastive Regularization: Weakly Supervised Large-Scale 3D Point Cloud Semantic Segmentation
od: Jingyi Wang, i dr.
Izdano: (2024-09-01)

A SAM-adapted weakly-supervised semantic segmentation method constrained by uncertainty and transformation consistency
od: Yinxia Cao, i dr.
Izdano: (2025-03-01)

Weakly supervised pre-training for brain tumor segmentation using principal axis measurements of tumor burden
od: Joshua E. Mckone, i dr.
Izdano: (2024-06-01)

Automatic Crack Detection Using Weakly Supervised Semantic Segmentation Network and Mixed-Label Training Strategy
od: Zhang Shuyuan, i dr.
Izdano: (2024-02-01)

Chest L-Transformer: Local Features With Position Attention for Weakly Supervised Chest Radiograph Segmentation and Classification
od: Hong Gu, i dr.
Izdano: (2022-06-01)