Shihua Huang | DeepAI

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∙ 12/21/2022

Revisiting Residual Networks for Adversarial Robustness: An Architectural Perspective

Efforts to improve the adversarial robustness of convolutional neural ne...

0 Shihua Huang, et al. ∙

∙ 08/14/2022

Surrogate-assisted Multi-objective Neural Architecture Search for Real-time Semantic Segmentation

The architectural advancements in deep neural networks have led to remar...

0 Zhichao Lu, et al. ∙

∙ 02/14/2022

GAMMA Challenge:Glaucoma grAding from Multi-Modality imAges

Color fundus photography and Optical Coherence Tomography (OCT) are the ...

5 Junde Wu, et al. ∙

∙ 08/16/2021

FaPN: Feature-aligned Pyramid Network for Dense Image Prediction

Recent advancements in deep neural networks have made remarkable leap-fo...

10 Shihua Huang, et al. ∙

∙ 06/02/2021

How Flexible is Your Computing System

In literature computer architectures are frequently claimed to be highly...

0 Shihua Huang, et al. ∙

∙ 09/14/2020

RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning

Despite the remarkable successes of Convolutional Neural Networks (CNNs)...

14 Hao Tan, et al. ∙

∙ 08/04/2020

Multimodal Image-to-Image Translation via a Single Generative Adversarial Network

Despite significant advances in image-to-image (I2I) translation with Ge...

0 Shihua Huang, et al. ∙

∙ 10/11/2019

Evolutionary Multi-Objective Optimization Driven by Generative Adversarial Networks (GANs)

Recently, more and more works have proposed to drive evolutionary algori...

20 Cheng He, et al. ∙

∙ 07/10/2019

Evolutionary Multi-Objective Optimization Driven by Generative Adversarial Networks

Recently, more and more works have proposed to drive evolutionary algori...

12 Cheng He, et al. ∙

∙ 03/18/2019

IvaNet: Learning to jointly detect and segment objets with the help of Local Top-Down Modules

Driven by Convolutional Neural Networks, object detection and semantic s...

0 Shihua Huang, et al. ∙

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