Search Results for author: Yuqing Ma

Found 12 papers, 8 papers with code

Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes

1 code implementation9 May 2024 Ruihao Gong, Yang Yong, Zining Wang, Jinyang Guo, Xiuying Wei, Yuqing Ma, Xianglong Liu

Previous methods for finding sparsity rates mainly focus on the training-aware scenario, which usually fails to converge stably under the PTS setting with limited data and much less training cost.

Revisiting Open World Object Detection

1 code implementation3 Jan 2022 Xiaowei Zhao, Xianglong Liu, Yifan Shen, Yixuan Qiao, Yuqing Ma, Duorui Wang

Open World Object Detection (OWOD), simulating the real dynamic world where knowledge grows continuously, attempts to detect both known and unknown classes and incrementally learn the identified unknown ones.

Object object-detection +1

Towards Real-world X-ray Security Inspection: A High-Quality Benchmark and Lateral Inhibition Module for Prohibited Items Detection

1 code implementation ICCV 2021 Renshuai Tao, Yanlu Wei, Xiangjian Jiang, Hainan Li, Haotong Qin, Jiakai Wang, Yuqing Ma, Libo Zhang, Xianglong Liu

In this work, we first present a High-quality X-ray (HiXray) security inspection image dataset, which contains 102, 928 common prohibited items of 8 categories.

A Comprehensive Evaluation Framework for Deep Model Robustness

no code implementations24 Jan 2021 Jun Guo, Wei Bao, Jiakai Wang, Yuqing Ma, Xinghai Gao, Gang Xiao, Aishan Liu, Jian Dong, Xianglong Liu, Wenjun Wu

To mitigate this problem, we establish a model robustness evaluation framework containing 23 comprehensive and rigorous metrics, which consider two key perspectives of adversarial learning (i. e., data and model).

Adversarial Defense

Spatiotemporal Attacks for Embodied Agents

1 code implementation ECCV 2020 Aishan Liu, Tairan Huang, Xianglong Liu, Yitao Xu, Yuqing Ma, Xinyun Chen, Stephen J. Maybank, DaCheng Tao

Adversarial attacks are valuable for providing insights into the blind-spots of deep learning models and help improve their robustness.

Navigate

Occluded Prohibited Items Detection: an X-ray Security Inspection Benchmark and De-occlusion Attention Module

2 code implementations18 Apr 2020 Yanlu Wei, Renshuai Tao, Zhangjie Wu, Yuqing Ma, Libo Zhang, Xianglong Liu

Furthermore, to deal with the occlusion in X-ray images detection, we propose the De-occlusion Attention Module (DOAM), a plug-and-play module that can be easily inserted into and thus promote most popular detectors.

Autonomous Driving object-detection +2

Stratified Rule-Aware Network for Abstract Visual Reasoning

2 code implementations17 Feb 2020 Sheng Hu, Yuqing Ma, Xianglong Liu, Yanlu Wei, Shihao Bai

We further point out the severe defects existing in the popular RAVEN dataset for RPM test, which prevent from the fair evaluation of the abstract reasoning ability.

Attribute

Region-wise Generative Adversarial ImageInpainting for Large Missing Areas

1 code implementation27 Sep 2019 Yuqing Ma, Xianglong Liu, Shihao Bai, Lei Wang, Aishan Liu, DaCheng Tao, Edwin Hancock

To address these problems, we propose a generic inpainting framework capable of handling with incomplete images on both continuous and discontinuous large missing areas, in an adversarial manner.

Image Inpainting

Interpreting and Improving Adversarial Robustness of Deep Neural Networks with Neuron Sensitivity

no code implementations16 Sep 2019 Chongzhi Zhang, Aishan Liu, Xianglong Liu, Yitao Xu, Hang Yu, Yuqing Ma, Tianlin Li

In this paper, we first draw the close connection between adversarial robustness and neuron sensitivities, as sensitive neurons make the most non-trivial contributions to model predictions in the adversarial setting.

Adversarial Robustness Decision Making

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