2 citations · 2 across the 5 of their papers we have counts for
4 papers · 1 filter
DS@GT ARC at AnimalCLEF 2026: Species-Aware Graph Construction for Multi-Species Animal Re-Identification
Evan Sinclair Smith, Anthony Miyaguchi, Snigdha Palamari +1
Automated individual animal re-identification is essential for large-scale biodiversity monitoring; however, field imagery complicates separating identity cues from nuisance variat…
Fine-Grained Classification for Poisonous Fungi Identification with Transfer Learning
Christopher Chiu, Maximilian Heil, Teresa Kim +1
FungiCLEF 2024 addresses the fine-grained visual categorization (FGVC) of fungi species, with a focus on identifying poisonous species. This task is challenging due to the size and…
Multi-Label Plant Species Classification with Self-Supervised Vision Transformers
Murilo Gustineli, Anthony Miyaguchi, Ian Stalter
We present a transfer learning approach using a self-supervised Vision Transformer (DINOv2) for the PlantCLEF 2024 competition, focusing on the multi-label plant species classifica…
Transfer Learning with Self-Supervised Vision Transformers for Snake Identification
Anthony Miyaguchi, Murilo Gustineli, Austin Fischer +1
We present our approach for the SnakeCLEF 2024 competition to predict snake species from images. We explore and use Meta's DINOv2 vision transformer model for feature extraction to…