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EgoMaize: A First-Person Maize Instance Segmentation Benchmark under Severe Field Occlusion

This story is from 2026-09-14. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.12350v1 Announce Type: new Abstract: Close-range first-person field images are important for mobile maize phenotyping because many plant-level traits depend on in-canopy structures that are difficult to ob serve from overhead views. However, post-seedling maize fields create a difficult…

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  1. 2026-09-14 04:00 · arXiv cs.CV
    EgoMaize: A First-Person Maize Instance Segmentation Benchmark under Severe Field Occlusion

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