Search Results for author: Zehao Huang

Found 9 papers, 8 papers with code

Direct Differentiable Augmentation Search

1 code implementation ICCV 2021 Aoming Liu, Zehao Huang, Zhiwu Huang, Naiyan Wang

Data augmentation has been an indispensable tool to improve the performance of deep neural networks, however the augmentation can hardly transfer among different tasks and datasets.

AutoML Data Augmentation +4

QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection

1 code implementation CVPR 2022 Chenhongyi Yang, Zehao Huang, Naiyan Wang

On the popular COCO dataset, the proposed method improves the detection mAP by 1. 0 and mAP-small by 2. 0, and the high-resolution inference speed is improved to 3. 0x on average.

object-detection Small Object Detection

Single Shot Neural Architecture Search Via Direct Sparse Optimization

no code implementations ICLR 2019 Xinbang Zhang, Zehao Huang, Naiyan Wang

Recently Neural Architecture Search (NAS) has aroused great interest in both academia and industry, however it remains challenging because of its huge and non-continuous search space.

Neural Architecture Search

You Only Search Once: Single Shot Neural Architecture Search via Direct Sparse Optimization

1 code implementation5 Nov 2018 Xinbang Zhang, Zehao Huang, Naiyan Wang

Recently Neural Architecture Search (NAS) has aroused great interest in both academia and industry, however it remains challenging because of its huge and non-continuous search space.

Neural Architecture Search

Like What You Like: Knowledge Distill via Neuron Selectivity Transfer

1 code implementation ICLR 2019 Zehao Huang, Naiyan Wang

In this paper, we propose a novel knowledge transfer method by treating it as a distribution matching problem.

object-detection Object Detection +1

Data-Driven Sparse Structure Selection for Deep Neural Networks

1 code implementation ECCV 2018 Zehao Huang, Naiyan Wang

Deep convolutional neural networks have liberated its extraordinary power on various tasks.

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