Enhancing Semi-Supervised Semantic Segmentation of Remote Sensing Images via Feature Perturbation-Based Consistency Regularization Methods

In the field of remote sensing technology, the semantic segmentation of remote sensing images carries substantial importance. The creation of high-quality models for this task calls for an extensive collection of image data. However, the manual annotation of these images can be both time-consuming a...

पूर्ण विवरण

ग्रंथसूची विवरण

मुख्य लेखकों:	Yi Xin, Zide Fan, Xiyu Qi, Ying Geng, Xinming Li
स्वरूप:	Artigo
भाषा:	Inglês
प्रकाशित:	MDPI AG 2024-01-01
श्रृंखला:	Sensors
विषय:	remote sensing semantic segmentation semi-supervised learning consistency regularization feature perturbation contrastive learning
ऑनलाइन पहुंच:	https://www.mdpi.com/1424-8220/24/3/730
टैग:	टैग जोड़ें कोई टैग नहीं, इस रिकॉर्ड को टैग करने वाले पहले व्यक्ति बनें!