671 citations · 673 across the 3 of their papers we have counts for
3 papers
Improving Visual Representation Learning through Perceptual Understanding
Samyakh Tukra, Frederick Hoffman, Ken Chatfield
We present an extension to masked autoencoders (MAE) which improves on the representations learnt by the model by explicitly encouraging the learning of higher scene-level features…
Efficient On-the-fly Category Retrieval using ConvNets and GPUs
Ken Chatfield, Karen Simonyan, Andrew Zisserman
We investigate the gains in precision and speed, that can be obtained by using Convolutional Networks (ConvNets) for on-the-fly retrieval - where classifiers are learnt at run time…
Return of the Devil in the Details: Delving Deep into Convolutional Nets
Ken Chatfield, Karen Simonyan, Andrea Vedaldi +1
The latest generation of Convolutional Neural Networks (CNN) have achieved impressive results in challenging benchmarks on image recognition and object detection, significantly rai…