Automatic object detection and segmentation from underwater images via saliency-based region merging
Summary
Automatic object detection and segmentation from underwater images via saliency-based region merging is a scholarly article[1].
Key Facts
Automatic object detection and segmentation from underwater images via saliency-based region merging's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Automatic object detection and segmentation from underwater images via saliency-based region merging. Retrieved May 24, 2026, from https://4ort.xyz/entity/automatic-object-detection-and-segmentation-from-underwater-images-via-saliency-based-region-merging
MLA“Automatic object detection and segmentation from underwater images via saliency-based region merging.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automatic-object-detection-and-segmentation-from-underwater-images-via-saliency-based-region-merging.
BibTeX@misc{4ortxyz_automatic-object-detection-and-segmentation-from-underwater-images-via-saliency-based-region-merging_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automatic object detection and segmentation from underwater images via saliency-based region merging}}, year = {2026}, url = {https://4ort.xyz/entity/automatic-object-detection-and-segmentation-from-underwater-images-via-saliency-based-region-merging}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automatic object detection and segmentation from underwater images via saliency-based region merging — https://4ort.xyz/entity/automatic-object-detection-and-segmentation-from-underwater-images-via-saliency-based-region-merging (retrieved 2026-05-24)
