Search Results - "Deng, Fan"
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1
Salient Object Detection via Integrity Learning
Published in IEEE transactions on pattern analysis and machine intelligence (01-03-2023)“…Although current salient object detection (SOD) works have achieved significant progress, they are limited when it comes to the integrity of the predicted…”
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Journal Article -
2
Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks
Published in IEEE transaction on neural networks and learning systems (01-05-2021)“…The use of RGB-D information for salient object detection (SOD) has been extensively explored in recent years. However, relatively few efforts have been put…”
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3
Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images
Published in IEEE transactions on medical imaging (01-08-2020)“…Coronavirus Disease 2019 (COVID-19) spread globally in early 2020, causing the world to face an existential health crisis. Automated detection of lung…”
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Journal Article -
4
Siamese Network for RGB-D Salient Object Detection and Beyond
Published in IEEE transactions on pattern analysis and machine intelligence (01-09-2022)“…Existing RGB-D salient object detection (SOD) models usually treat RGB and depth as independent information and design separate networks for feature extraction…”
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Journal Article -
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Structure-Measure: A New Way to Evaluate Foreground Maps
Published in International journal of computer vision (01-09-2021)“…Foreground map evaluation is crucial for gauging the progress of object segmentation algorithms, in particular in the field of salient object detection where…”
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Concealed Object Detection
Published in IEEE transactions on pattern analysis and machine intelligence (01-10-2022)“…We present the first systematic study on concealed object detection (COD), which aims to identify objects that are visually embedded in their background. The…”
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PVT v2: Improved baselines with Pyramid Vision Transformer
Published in Computational visual media (Beijing) (01-09-2022)“…Transformers have recently lead to encouraging progress in computer vision. In this work, we present new baselines by improving the original Pyramid Vision…”
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Uncertainty Inspired RGB-D Saliency Detection
Published in IEEE transactions on pattern analysis and machine intelligence (01-09-2022)“…We propose the first stochastic framework to employ uncertainty for RGB-D saliency detection by learning from the data labeling process. Existing RGB-D…”
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9
Structure-Measure: A New Way to Evaluate Foreground Maps
Published in 2017 IEEE International Conference on Computer Vision (ICCV) (01-10-2017)“…Foreground map evaluation is crucial for gauging the progress of object segmentation algorithms, in particular in the field of salient object detection where…”
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Conference Proceeding -
10
Shifting More Attention to Video Salient Object Detection
Published in 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2019)“…The last decade has witnessed a growing interest in video salient object detection (VSOD). However, the research community long-term lacked a well-established…”
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Conference Proceeding -
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Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
Published in 2021 IEEE/CVF International Conference on Computer Vision (ICCV) (01-10-2021)“…Although convolutional neural networks (CNNs) have achieved great success in computer vision, this work investigates a simpler, convolution-free backbone…”
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Conference Proceeding -
12
Bilateral Attention Network for RGB-D Salient Object Detection
Published in IEEE transactions on image processing (2021)“…RGB-D salient object detection (SOD) aims to segment the most attractive objects in a pair of cross-modal RGB and depth images. Currently, most existing RGB-D…”
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Journal Article -
13
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation
Published in IEEE transactions on image processing (2021)“…Recently, the coronavirus disease 2019 (COVID-19) has caused a pandemic disease in over 200 countries, influencing billions of humans. To control the…”
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14
Bifurcated Backbone Strategy for RGB-D Salient Object Detection
Published in IEEE transactions on image processing (2021)“…Multi-level feature fusion is a fundamental topic in computer vision. It has been exploited to detect, segment and classify objects at various scales. When…”
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15
JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection
Published in 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2020)“…This paper proposes a novel joint learning and densely-cooperative fusion (JL-DCF) architecture for RGB-D salient object detection. Existing models usually…”
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Conference Proceeding -
16
Re-Thinking Co-Salient Object Detection
Published in IEEE transactions on pattern analysis and machine intelligence (01-08-2022)“…In this article, we conduct a comprehensive study on the co-salient object detection (CoSOD) problem for images. CoSOD is an emerging and rapidly growing…”
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RGB-D salient object detection: A survey
Published in Computational visual media (Beijing) (01-03-2021)“…Salient object detection, which simulates human visual perception in locating the most significant object(s) in a scene, has been widely applied to various…”
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18
Toward Deeper Understanding of Camouflaged Object Detection
Published in IEEE transactions on circuits and systems for video technology (01-07-2023)“…Preys in the wild evolve to be camouflaged to avoid being recognized by predators. In this way, camouflage acts as a key defence mechanism across species that…”
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UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders
Published in 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-01-2020)“…In this paper, we propose the first framework (UCNet) to employ uncertainty for RGB-D saliency detection by learning from the data labeling process. Existing…”
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Conference Proceeding -
20
Uncertainty-Guided Transformer Reasoning for Camouflaged Object Detection
Published in 2021 IEEE/CVF International Conference on Computer Vision (ICCV) (01-10-2021)“…Spotting objects that are visually adapted to their surroundings is challenging for both humans and AI. Conventional generic / salient object detection…”
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Conference Proceeding