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20162024
most citedNISP: Pruning Networks using Neuron Importance Score Propagation

62 citations · 205 across the 14 of their papers we have counts for

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Showing 2017Show all

5 papers · 1 filter

cs.CV2017★ 24 cited

VITON: An Image-based Virtual Try-on Network

Xintong Han, Zuxuan Wu, Zhe Wu +2

We present an image-based VIirtual Try-On Network (VITON) without using 3D information in any form, which seamlessly transfers a desired clothing item onto the corresponding region…

cs.CV2017★ 62 cited

NISP: Pruning Networks using Neuron Importance Score Propagation

Ruichi Yu, Ang Li, Chun-Fu Chen +6

To reduce the significant redundancy in deep Convolutional Neural Networks (CNNs), most existing methods prune neurons by only considering statistics of an individual layer or two…

cs.CV2017★ 9 cited

C-WSL: Count-guided Weakly Supervised Localization

Mingfei Gao, Ang Li, Ruichi Yu +2

We introduce count-guided weakly supervised localization (C-WSL), an approach that uses per-class object count as a new form of supervision to improve weakly supervised localizatio…

cs.CV2017★ 15 cited

Dynamic Zoom-in Network for Fast Object Detection in Large Images

Mingfei Gao, Ruichi Yu, Ang Li +2

We introduce a generic framework that reduces the computational cost of object detection while retaining accuracy for scenarios where objects with varied sizes appear in high resol…

cs.CV2017★ 57 cited

Visual Relationship Detection with Internal and External Linguistic Knowledge Distillation

Ruichi Yu, Ang Li, Vlad I. Morariu +1

Understanding visual relationships involves identifying the subject, the object, and a predicate relating them. We leverage the strong correlations between the predicate and the (s…