23 citations · 26 across the 4 of their papers we have counts for
4 papers
A simple, strong baseline for building damage detection on the xBD dataset
Sebastian Gerard, Paul Borne-Pons, Josephine Sullivan
We construct a strong baseline method for building damage detection by starting with the highly-engineered winning solution of the xView2 competition, and gradually stripping away…
Probabilistic 3d regression with projected huber distribution
David Mohlin, Josephine Sullivan
Estimating probability distributions which describe where an object is likely to be from camera data is a task with many applications. In this work we describe properties which we…
Persistent Evidence of Local Image Properties in Generic ConvNets
Ali Sharif Razavian, Hossein Azizpour, Atsuto Maki +3
Supervised training of a convolutional network for object classification should make explicit any information related to the class of objects and disregard any auxiliary informatio…
Factors of Transferability for a Generic ConvNet Representation
Hossein Azizpour, Ali Sharif Razavian, Josephine Sullivan +2
Evidence is mounting that Convolutional Networks (ConvNets) are the most effective representation learning method for visual recognition tasks. In the common scenario, a ConvNet is…