most citedPropagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning

24 citations · 36 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20214 cited

Capsule Network is Not More Robust than Convolutional Network

Jindong Gu, Volker Tresp, Han Hu

The Capsule Network is widely believed to be more robust than Convolutional Networks. However, there are no comprehensive comparisons between these two networks, and it is also unk…

eess.SY2021

Mobility-Aware Offloading and Resource Allocation in MEC-Enabled IoT Networks

Han Hu, Weiwei Song, Qun Wang +2

Mobile edge computing (MEC)-enabled Internet of Things (IoT) networks have been deemed a promising paradigm to support massive energy-constrained and computation-limited IoT device…

cs.CV20201 cited

Global Context Networks

Yue Cao, Jiarui Xu, Stephen Lin +2

The Non-Local Network (NLNet) presents a pioneering approach for capturing long-range dependencies within an image, via aggregating query-specific global context to each query posi…

cs.CV20207 cited

Deep Learning to Segment Pelvic Bones: Large-scale CT Datasets and Baseline Models

Pengbo Liu, Hu Han, Yuanqi Du +9

Purpose: Pelvic bone segmentation in CT has always been an essential step in clinical diagnosis and surgery planning of pelvic bone diseases. Existing methods for pelvic bone segme…

cs.CV202024 cited

Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning

Zhenda Xie, Yutong Lin, Zheng Zhang +3

Contrastive learning methods for unsupervised visual representation learning have reached remarkable levels of transfer performance. We argue that the power of contrastive learning…