Text Semantic Fusion Relation Graph Reasoning for Few-Shot Object Detection on Remote Sensing Images

Most object detection methods based on remote sensing images are generally dependent on a large amount of high-quality labeled training data. However, due to the slow acquisition cycle of remote sensing images and the difficulty in labeling, many types of data samples are scarce. This makes few-shot...

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Vydané v:	Remote sensing (Basel, Switzerland) Ročník 15; číslo 5; s. 1187
Hlavní autori:	Zhang, Sanxing, Song, Fei, Liu, Xianyuan, Hao, Xuying, Liu, Yujia, Lei, Tao, Jiang, Ping
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.03.2023
Predmet:	Algorithms Artificial intelligence Comparative analysis data collection Datasets Deep learning detectors exhibitions few-shot object detection gated graph neural network (GGNN) graphs Image acquisition image analysis Knowledge languages Machine learning Methods Neural networks Object recognition Object recognition (Computers) Pattern recognition Reasoning relation reasoning Remote sensing remote sensing images Semantics Sensors spatial learning Technology application China
ISSN:	2072-4292, 2072-4292
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