6 citations · 9 across the 10 of their papers we have counts for
5 papers · 1 filter
Multi-Scale ViT Inference with Habitat-Fit Priors and kNN Retrieval for Multi-Species Plant Identification
Alper Erten, Murilo Gustineli, Adrian Cheung
This paper describes DS@GT ARC's third-place solution to the PlantCLEF 2026 challenge on multi-species plant identification in vegetation quadrat images, where systems must predict…
Transfer Learning and Mixup for Fine-Grained Few-Shot Fungi Classification
Jason Kahei Tam, Murilo Gustineli, Anthony Miyaguchi
Accurate identification of fungi species presents a unique challenge in computer vision due to fine-grained inter-species variation and high intra-species variation. This paper pre…
Tile-Based ViT Inference with Visual-Cluster Priors for Zero-Shot Multi-Species Plant Identification
Murilo Gustineli, Anthony Miyaguchi, Adrian Cheung +1
We describe DS@GT's second-place solution to the PlantCLEF 2025 challenge on multi-species plant identification in vegetation quadrat images. Our pipeline combines (i) a fine-tuned…
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…