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20172021
most citedIncremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights

481 citations · 496 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.CV2021

2nd Place Solution for IJCAI-PRICAI 2020 3D AI Challenge: 3D Object Reconstruction from A Single Image

Yichen Cao, Yufei Wei, Shichao Liu +1

In this paper, we present our solution for the {\it IJCAI--PRICAI--20 3D AI Challenge: 3D Object Reconstruction from A Single Image}. We develop a variant of AtlasNet that consumes…

cs.CV2021★ 1 cited

IDEAL: Independent Domain Embedding Augmentation Learning

Zhiyuan Chen, Guang Yao, Wennan Ma +1

Many efforts have been devoted to designing sampling, mining, and weighting strategies in high-level deep metric learning (DML) loss objectives. However, little attention has been…

cs.CV2021★ 3 cited

EMface: Detecting Hard Faces by Exploring Receptive Field Pyraminds

Leilei Cao, Yao Xiao, Lin Xu

Scale variation is one of the most challenging problems in face detection. Modern face detectors employ feature pyramids to deal with scale variation. However, it might break the f…

cs.CV2019

A Preliminary Study on Optimal Placement of Cameras

Lin Xu

This paper primarily focuses on figuring out the best array of cameras, or visual sensors, so that such a placement enables the maximum utilization of these visual sensors. Maximiz…

cs.CV2017★ 481 cited

Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights

Aojun Zhou, Anbang Yao, Yiwen Guo +2

This paper presents incremental network quantization (INQ), a novel method, targeting to efficiently convert any pre-trained full-precision convolutional neural network (CNN) model…