1.9k citations · 3.8k across the 11 of their papers we have counts for
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cs.CV2016★ 1.6k cited
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer
Sergey Zagoruyko, Nikos Komodakis
Attention plays a critical role in human visual experience. Furthermore, it has recently been demonstrated that attention can also play an important role in the context of applying…
cs.CV2016★ 1.9k cited
Wide Residual Networks
Sergey Zagoruyko, Nikos Komodakis
Deep residual networks were shown to be able to scale up to thousands of layers and still have improving performance. However, each fraction of a percent of improved accuracy costs…
cs.CV2016
A MultiPath Network for Object Detection
Sergey Zagoruyko, Adam Lerer, Tsung-Yi Lin +4
The recent COCO object detection dataset presents several new challenges for object detection. In particular, it contains objects at a broad range of scales, less prototypical imag…