61 citations · 131 across the 9 of their papers we have counts for
9 papers
Transformer-based Dual Relation Graph for Multi-label Image Recognition
Jiawei Zhao, Ke Yan, Yifan Zhao +3
The simultaneous recognition of multiple objects in one image remains a challenging task, spanning multiple events in the recognition field such as various object scales, inconsist…
Discriminator-Free Generative Adversarial Attack
Shaohao Lu, Yuqiao Xian, Ke Yan +5
The Deep Neural Networks are vulnerable toadversarial exam-ples(Figure 1), making the DNNs-based systems collapsed byadding the inconspicuous perturbations to the images. Most of t…
DisCo: Remedy Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning
Yuting Gao, Jia-Xin Zhuang, Shaohui Lin +4
While self-supervised representation learning (SSL) has received widespread attention from the community, recent research argue that its performance will suffer a cliff fall when t…
Ask&Confirm: Active Detail Enriching for Cross-Modal Retrieval with Partial Query
Guanyu Cai, Jun Zhang, Xinyang Jiang +7
Text-based image retrieval has seen considerable progress in recent years. However, the performance of existing methods suffers in real life since the user is likely to provide an…
Filter Grafting for Deep Neural Networks: Reason, Method, and Cultivation
Hao Cheng, Fanxu Meng, Ke Li +4
Filter is the key component in modern convolutional neural networks (CNNs). However, since CNNs are usually over-parameterized, a pre-trained network always contain some invalid (u…
Semi-Supervised Adversarial Monocular Depth Estimation
Rongrong Ji, Ke Li, Yan Wang +6
In this paper, we address the problem of monocular depth estimation when only a limited number of training image-depth pairs are available. To achieve a high regression accuracy, t…