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Scalable Detection of Fossil Palynomorphs in Multifocal Digital Microscopy Images

Paper recorded by Signals 4 on 2026-09-04 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-04 on arXiv · recorded by Signals 4 on 2026-09-07

Category: cs.CV · 计算机视觉 · first seen 2026-09-07

Abstract

Palynomorphs (microscopic, organic-walled fossils such as pollen, spores, and dinoflagellates) are important high-resolution records of past climates and are critical to the study of ancient ecosystems. Existing methods rely on manual analysis of high-resolution, multifocal digital microscopy images, which is slow and time-consuming and requires researchers to compromise on the scale of their inve

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#135 most recent of 237 cs.CV papers we have recorded · ↑ newer: MEOX: Compact Multimodal Mixture-of-Experts for Earth Observation · ↓ older: Learning Spatial-Spectral Refinement and Calibrating Complementary Obs
Cite this page: Scalable Detection of Fossil Palynomorphs in Multifocal Digital Microscopy Images: the #135 most recent of 237 cs.CV papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/scalable-detection-of-fossil-palynomorphs-in-multifocal-digital-microscopy-image.html
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