5 citations · 5 across the 3 of their papers we have counts for
5 papers · 1 filter
In-Context Learning for Wound Classification with Small Multimodal Language Models
George Martvel, Oskar Gustafsson, John Pavia +1
Wound image classification is often treated as a task-specific supervised learning problem, requiring substantial amounts of manually labelled data and retraining when the label sp…
Semantic Style Transfer for Enhancing Animal Facial Landmark Detection
Anadil Hussein, Anna Zamansky, George Martvel
Neural Style Transfer (NST) is a technique for applying the visual characteristics of one image onto another while preserving structural content. Traditionally used for artistic tr…
DogFLW: Dog Facial Landmarks in the Wild Dataset
George Martvel, Greta Abele, Annika Bremhorst +5
Affective computing for animals is a rapidly expanding research area that is going deeper than automated movement tracking to address animal internal states, like pain and emotions…
Automated Detection of Cat Facial Landmarks
George Martvel, Ilan Shimshoni, Anna Zamansky
The field of animal affective computing is rapidly emerging, and analysis of facial expressions is a crucial aspect. One of the most significant challenges that researchers in the…
CatFLW: Cat Facial Landmarks in the Wild Dataset
George Martvel, Nareed Farhat, Ilan Shimshoni +1
Animal affective computing is a quickly growing field of research, where only recently first efforts to go beyond animal tracking into recognizing their internal states, such as pa…