1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2025
Self-supervised Learning on Camera Trap Footage Yields a Strong Universal Face Embedder
Vladimir Iashin, Horace Lee, Dan Schofield +1
Camera traps are revolutionising wildlife monitoring by capturing vast amounts of visual data; however, the manual identification of individual animals remains a significant bottle…
cs.CL2024★ 1 cited
Developing Healthcare Language Model Embedding Spaces
Niall Taylor, Dan Schofield, Andrey Kormilitzin +2
Pre-trained Large Language Models (LLMs) often struggle on out-of-domain datasets like healthcare focused text. We explore specialized pre-training to adapt smaller LLMs to differe…