1k citations · 2.1k across the 36 of their papers we have counts for
Showing 2016 · cs.CVShow all
2 papers · 2 filters
cs.CV2016★ 17 cited
Learning Features by Watching Objects Move
Deepak Pathak, Ross Girshick, Piotr Dollár +2
This paper presents a novel yet intuitive approach to unsupervised feature learning. Inspired by the human visual system, we explore whether low-level motion-based grouping cues ca…
cs.CV2016
Context Encoders: Feature Learning by Inpainting
Deepak Pathak, Philipp Krahenbuhl, Jeff Donahue +2
We present an unsupervised visual feature learning algorithm driven by context-based pixel prediction. By analogy with auto-encoders, we propose Context Encoders -- a convolutional…