USOD10K: A New Benchmark Dataset for Underwater Salient Object Detection

Underwater salient object detection (USOD) is an emerging research area that has great potential for various underwater visual tasks. However, USOD research is still in its early stage due to the lack of large-scale datasets within which salient objects are well-defined and pixel-wise annotated. To...

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Veröffentlicht in:	IEEE transactions on image processing Jg. 34; S. 1602 - 1615
Hauptverfasser:	Hong, Lin, Wang, Xin, Zhang, Gan, Zhao, Ming
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.01.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	baseline benchmark Benchmark testing Benchmarks Convolution dataset Datasets Decoding Encoders-Decoders Object detection Object recognition Salience Task analysis transformer Transformers Underwater robots Underwater salient object detection (USOD) Visual tasks Visualization
ISSN:	1057-7149, 1941-0042, 1941-0042
Online-Zugang:	Volltext
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