2.2k citations · 10.8k across the 93 of their papers we have counts for
Showing 2014Show all
2 papers · 1 filter
cs.CV2014★ 580 cited
Training Deep Neural Networks on Noisy Labels with Bootstrapping
Scott Reed, Honglak Lee, Dragomir Anguelov +3
Current state-of-the-art deep learning systems for visual object recognition and detection use purely supervised training with regularization such as dropout to avoid overfitting.…
cs.CV2014★ 753 cited
Evaluation of Output Embeddings for Fine-Grained Image Classification
Zeynep Akata, Scott Reed, Daniel Walter +2
Image classification has advanced significantly in recent years with the availability of large-scale image sets. However, fine-grained classification remains a major challenge due…