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20152019
most citedDoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients

1.8k citations · 3.3k across the 8 of their papers we have counts for

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Showing 2019Show all

2 papers · 1 filter

cs.CV2019

PointRend: Image Segmentation as Rendering

Alexander Kirillov, Yuxin Wu, Kaiming He +1

We present a new method for efficient high-quality image segmentation of objects and scenes. By analogizing classical computer graphics methods for efficient rendering with over- a…

cs.CV2019★ 1k cited

Momentum Contrast for Unsupervised Visual Representation Learning

Kaiming He, Haoqi Fan, Yuxin Wu +2

We present Momentum Contrast (MoCo) for unsupervised visual representation learning. From a perspective on contrastive learning as dictionary look-up, we build a dynamic dictionary…