all AI news
Ensembles of Vision Transformers as a New Paradigm for Automated Classification in Ecology. (arXiv:2203.01726v3 [cs.CV] UPDATED)
Sept. 30, 2022, 1:16 a.m. | S. Kyathanahally, T. Hardeman, M. Reyes, E. Merz, T. Bulas, P. Brun, F. Pomati, M. Baity-Jesi
cs.CV updates on arXiv.org arxiv.org
Monitoring biodiversity is paramount to manage and protect natural resources.
Collecting images of organisms over large temporal or spatial scales is a
promising practice to monitor the biodiversity of natural ecosystems, providing
large amounts of data with minimal interference with the environment. Deep
learning models are currently used to automate classification of organisms into
taxonomic units. However, imprecision in these classifiers introduces a
measurement noise that is difficult to control and can significantly hinder the
analysis and interpretation of data. …
More from arxiv.org / cs.CV updates on arXiv.org
Compact 3D Scene Representation via Self-Organizing Gaussian Grids
2 days, 17 hours ago |
arxiv.org
Fingerprint Matching with Localized Deep Representation
2 days, 17 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne