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20172022
most citedQuery2Label: A Simple Transformer Way to Multi-Label Classification

121 citations · 470 across the 30 of their papers we have counts for

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17 papers · 1 filter

cs.CV20223 cited

DQ-DETR: Dual Query Detection Transformer for Phrase Extraction and Grounding

Shilong Liu, Yaoyuan Liang, Feng Li +5

In this paper, we study the problem of visual grounding by considering both phrase extraction and grounding (PEG). In contrast to the previous phrase-known-at-test setting, PEG req…

cs.CV202218 cited

ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints

Yinpeng Dong, Shouwei Ruan, Hang Su +3

Recent studies have demonstrated that visual recognition models lack robustness to distribution shift. However, current work mainly considers model robustness to 2D image transform…

cs.CV20224 cited

Controllable Evaluation and Generation of Physical Adversarial Patch on Face Recognition

Xiao Yang, Yinpeng Dong, Tianyu Pang +3

Recent studies have revealed the vulnerability of face recognition models against physical adversarial patches, which raises security concerns about the deployed face recognition s…

cs.CV20216 cited

Unrestricted Adversarial Attacks on ImageNet Competition

Yuefeng Chen, Xiaofeng Mao, Yuan He +34

Many works have investigated the adversarial attacks or defenses under the settings where a bounded and imperceptible perturbation can be added to the input. However in the real-wo…

cs.CV20211 cited

Adversarial Attacks on ML Defense Models Competition

Yinpeng Dong, Qi-An Fu, Xiao Yang +25

Due to the vulnerability of deep neural networks (DNNs) to adversarial examples, a large number of defense techniques have been proposed to alleviate this problem in recent years.…

cs.CV2021121 cited

Query2Label: A Simple Transformer Way to Multi-Label Classification

Shilong Liu, Lei Zhang, Xiao Yang +2

This paper presents a simple and effective approach to solving the multi-label classification problem. The proposed approach leverages Transformer decoders to query the existence o…