1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2024
PetFace: A Large-Scale Dataset and Benchmark for Animal Identification
Risa Shinoda, Kaede Shiohara
Automated animal face identification plays a crucial role in the monitoring of behaviors, conducting of surveys, and finding of lost animals. Despite the advancements in human face…
cs.CV2024
OpenAnimalTracks: A Dataset for Animal Track Recognition
Risa Shinoda, Kaede Shiohara
Animal habitat surveys play a critical role in preserving the biodiversity of the land. One of the effective ways to gain insights into animal habitats involves identifying animal…
cs.CV2023★ 1 cited
SegRCDB: Semantic Segmentation via Formula-Driven Supervised Learning
Risa Shinoda, Ryo Hayamizu, Kodai Nakashima +3
Pre-training is a strong strategy for enhancing visual models to efficiently train them with a limited number of labeled images. In semantic segmentation, creating annotation masks…