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20132021
most citedCNN: Single-label to Multi-label

829 citations · 2.2k across the 40 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

cs.LG2020

Towards Natural Robustness Against Adversarial Examples

Haoyu Chu, Shikui Wei, Yao Zhao

Recent studies have shown that deep neural networks are vulnerable to adversarial examples, but most of the methods proposed to defense adversarial examples cannot solve this probl…

cs.CV2020★ 8 cited

Mining Generalized Features for Detecting AI-Manipulated Fake Faces

Yang Yu, Rongrong Ni, Yao Zhao

Recently, AI-manipulated face techniques have developed rapidly and constantly, which has raised new security issues in society. Although existing detection methods consider differ…

cs.CV2020★ 2 cited

A Deep Ordinal Distortion Estimation Approach for Distortion Rectification

Kang Liao, Chunyu Lin, Yao Zhao

Distortion is widely existed in the images captured by popular wide-angle cameras and fisheye cameras. Despite the long history of distortion rectification, accurately estimating t…

cs.CV2020★ 1 cited

Fast Template Matching and Update for Video Object Tracking and Segmentation

Mingjie Sun, Jimin Xiao, Eng Gee Lim +2

In this paper, the main task we aim to tackle is the multi-instance semi-supervised video object segmentation across a sequence of frames where only the first-frame box-level groun…

cs.CV2020

Deep Optimized Multiple Description Image Coding via Scalar Quantization Learning

Lijun Zhao, Huihui Bai, Anhong Wang +1

In this paper, we introduce a deep multiple description coding (MDC) framework optimized by minimizing multiple description (MD) compressive loss. First, MD multi-scale-dilated enc…

cs.CV2020

Concurrently Extrapolating and Interpolating Networks for Continuous Model Generation

Lijun Zhao, Jinjing Zhang, Fan Zhang +3

Most deep image smoothing operators are always trained repetitively when different explicit structure-texture pairs are employed as label images for each algorithm configured with…