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From the 1 of 1.8k papers with an AI index.

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20032026
most citedReview of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19

1k citations

Showing 2021 · cs.CVShow all

36 papers · 2 filters

cs.CV202122 cited

RCNet: Reverse Feature Pyramid and Cross-scale Shift Network for Object Detection

Zhuofan Zong, Qianggang Cao, Biao Leng

Feature pyramid networks (FPN) are widely exploited for multi-scale feature fusion in existing advanced object detection frameworks. Numerous previous works have developed various…

cs.CV202112 cited

BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation

Mingcong Liu, Qiang Li, Zekui Qin +3

Generative Adversarial Networks (GANs) have made a dramatic leap in high-fidelity image synthesis and stylized face generation. Recently, a layer-swapping mechanism has been develo…

cs.CV202151 cited

RGB-D Salient Object Detection with Ubiquitous Target Awareness

Yifan Zhao, Jiawei Zhao, Jia Li +1

Conventional RGB-D salient object detection methods aim to leverage depth as complementary information to find the salient regions in both modalities. However, the salient object d…

cs.CV202137 cited

MHFC: Multi-Head Feature Collaboration for Few-Shot Learning

Shuai Shao, Lei Xing, Yan Wang +4

Few-shot learning (FSL) aims to address the data-scarce problem. A standard FSL framework is composed of two components: (1) Pre-train. Employ the base data to generate a CNN-based…

cs.CV20218 cited

Identity-aware Graph Memory Network for Action Detection

Jingcheng Ni, Jie Qin, Di Huang

Action detection plays an important role in high-level video understanding and media interpretation. Many existing studies fulfill this spatio-temporal localization by modeling the…

cs.CV202120 cited

ARShoe: Real-Time Augmented Reality Shoe Try-on System on Smartphones

Shan An, Guangfu Che, Jinghao Guo +7

Virtual try-on technology enables users to try various fashion items using augmented reality and provides a convenient online shopping experience. However, most previous works focu…