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Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection [PDF]
Computer Vision and Pattern Recognition, 2022 This study addresses the issue of fusing infrared and visible images that appear differently for object detection. Aiming at generating an image of high visual quality, previous approaches discover commons underlying the two modalities and fuse upon the ...
Jinyuan Liu +6 more
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UIU-Net: U-Net in U-Net for Infrared Small Object Detection [PDF]
IEEE Transactions on Image Processing, 2022 Learning-based infrared small object detection methods currently rely heavily on the classification backbone network. This tends to result in tiny object loss and feature distinguishability limitations as the network depth increases.
Xin Wu, D. Hong, J. Chanussot
semanticscholar +1 more source
IEEE Photonics Journal, 2021 We present the development of an As2S3 fiber-based reusable inline optical connector; and, for the first time to the best of our knowledge, integrated it into a 2 μm chirped pulse amplification system as the pulse stretcher.
Weiwang Zhang +16 more
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On-Orbit Geometric Calibration from the Relative Motion of Stars for Geostationary Cameras
Sensors, 2021 Affected by the vibrations and thermal shocks during launch and the orbit penetration process, the geometric positioning model of the remote sensing cameras measured on the ground will generate a displacement, affecting the geometric accuracy of imagery ...
Linyi Jiang +6 more
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Dense Nested Attention Network for Infrared Small Target Detection [PDF]
IEEE Transactions on Image Processing, 2021 Single-frame infrared small target (SIRST) detection aims at separating small targets from clutter backgrounds. With the advances of deep learning, CNN-based methods have yielded promising results in generic object detection due to their powerful ...
Boyang Li +7 more
semanticscholar +1 more source
RFN-Nest: An end-to-end residual fusion network for infrared and visible images [PDF]
Information Fusion, 2021 In the image fusion field, the design of deep learning-based fusion methods is far from routine. It is invariably fusion-task specific and requires a careful consideration.
Hui Li, Xiaojun Wu, J. Kittler
semanticscholar +1 more source
Recent Progress on Electrical and Optical Manipulations of Perovskite Photodetectors
Advanced Science, 2021 Photodetectors built from conventional bulk materials such as silicon, III–V or II–VI compound semiconductors are one of the most ubiquitous types of technology in use today.
Fang Wang +18 more
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npj Quantum Materials, 2021 HgCdTe avalanche photodiodes promise various fascinating applications due to the outstanding capability of detecting weak signals or even single photon. However, the underlying transport mechanisms of diverse dark current components are still unresolved ...
Jin Chen +12 more
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Pristine PN junction toward atomic layer devices
Light: Science & Applications, 2022 In semiconductor manufacturing, PN junction is formed by introducing dopants to activate neighboring electron and hole conductance. To avoid structural distortion and failure, it generally requires the foreign dopants localize in the designated micro ...
Hui Xia +13 more
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LLVIP: A Visible-infrared Paired Dataset for Low-light Vision [PDF]
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021 It is very challenging for various visual tasks such as image fusion, pedestrian detection and image-to-image translation in low light conditions due to the loss of effective target areas. In this case, infrared and visible images can be used together to
Xinyu Jia +4 more
semanticscholar +1 more source