BIOSCAN-CLIP: Bridging Vision and Genomics for Biodiversity Monitoring at Scale

no code implementations • 27 May 2024 • ZeMing Gong, Austin T. Wang, Joakim Bruslund Haurum, Scott C. Lowe, Graham W. Taylor, Angel X. Chang

Measuring biodiversity is crucial for understanding ecosystem health.

BarcodeBERT: Transformers for Biodiversity Analysis

1 code implementation • 4 Nov 2023 • Pablo Millan Arias, Niousha Sadjadi, Monireh Safari, ZeMing Gong, Austin T. Wang, Scott C. Lowe, Joakim Bruslund Haurum, Iuliia Zarubiieva, Dirk Steinke, Lila Kari, Angel X. Chang, Graham W. Taylor

Understanding biodiversity is a global challenge, in which DNA barcodes - short snippets of DNA that cluster by species - play a pivotal role.

Model Selection

Multi3DRefer: Grounding Text Description to Multiple 3D Objects

no code implementations • ICCV 2023 • Yiming Zhang, ZeMing Gong, Angel X. Chang

We introduce the task of localizing a flexible number of objects in real-world 3D scenes using natural language descriptions.

Contrastive Learning Object +3

A Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect Dataset

1 code implementation • NeurIPS 2023 • Zahra Gharaee, ZeMing Gong, Nicholas Pellegrino, Iuliia Zarubiieva, Joakim Bruslund Haurum, Scott C. Lowe, Jaclyn T. A. McKeown, Chris C. Y. Ho, Joschka McLeod, Yi-Yun C Wei, Jireh Agda, Sujeevan Ratnasingham, Dirk Steinke, Angel X. Chang, Graham W. Taylor, Paul Fieguth

In an effort to catalog insect biodiversity, we propose a new large dataset of hand-labelled insect images, the BIOSCAN-Insect Dataset.

Classification