5 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 3 cited
There is no SAMantics! Exploring SAM as a Backbone for Visual Understanding Tasks
Miguel Espinosa, Chenhongyi Yang, Linus Ericsson +2
The Segment Anything Model (SAM) was originally designed for label-agnostic mask generation. Does this model also possess inherent semantic understanding, of value to broader visua…
cs.LG2023★ 2 cited
DLAS: An Exploration and Assessment of the Deep Learning Acceleration Stack
Perry Gibson, José Cano, Elliot J. Crowley +2
Deep Neural Networks (DNNs) are extremely computationally demanding, which presents a large barrier to their deployment on resource-constrained devices. Since such devices are wher…
cs.CV2023★ 5 cited
Generate Your Own Scotland: Satellite Image Generation Conditioned on Maps
Miguel Espinosa, Elliot J. Crowley
Despite recent advancements in image generation, diffusion models still remain largely underexplored in Earth Observation. In this paper we show that state-of-the-art pretrained di…