专题：Image Processing Techniques and Applications

This cluster of papers focuses on the development and evaluation of autofocusing algorithms for microscopy and digital cameras, with applications in depth estimation, shape reconstruction, and tuberculosis detection. It also explores techniques such as shape from focus, defocus, and image processing methods for accurate autofocusing in various imaging systems.
最新文献
StrainNet-LD: Large Displacement digital image correlation based on deep learning and displacement-field decomposition

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Two-photon nanolithography of micrometer scale diffractive neural network with cubical diffraction neurons at the visible wavelength

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Deep learning-based perspective distortion correction for outdoor photovoltaic module images

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Self-supervised memory learning for scene text image super-resolution

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Using novel deep learning models for rapid and efficient assistance in monkeypox screening from skin images

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Deep learning based measurement accuracy improvement of high dynamic range objects in fringe projection profilometry

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Prompt-and-Transfer: Dynamic Class-Aware Enhancement for Few-Shot Segmentation

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Beyond Image Super-Resolution for Image Recognition with Task-Driven Perceptual Loss

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Mask-free Iterative Refinement Network for weakly-supervised Few-shot Semantic Segmentation

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AF-DCDU-Net: An Approach for ISAR Autofocus Imaging via Deep Convolution and Deep Unfolding Net

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近5年高被引文献
A Multi-Modal Distributed Real-Time IoT System for Urban Traffic Control (Invited Paper)

preprint Full Text OpenAlex 14153 FWCI1663.10426411

SwinIR: Image Restoration Using Swin Transformer

article Full Text OpenAlex 3538 FWCI249.4155287

Restormer: Efficient Transformer for High-Resolution Image Restoration

article Full Text OpenAlex 2826 FWCI194.98097659

Uformer: A General U-Shaped Transformer for Image Restoration

article Full Text OpenAlex 1731 FWCI119.03229591

Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer

article Full Text OpenAlex 1149 FWCI118.0973783

TrackMate 7: integrating state-of-the-art segmentation algorithms into tracking pipelines

article Full Text OpenAlex 1015 FWCI185.40129238

Barlow Twins: Self-Supervised Learning via Redundancy Reduction

preprint Full Text OpenAlex 770 FWCI0

Computer Vision and Image Understanding

article Full Text OpenAlex 768 FWCI29.21486507

Rethinking Coarse-to-Fine Approach in Single Image Deblurring

article Full Text OpenAlex 639 FWCI30.0256066

Learning Continuous Image Representation with Local Implicit Image Function

article Full Text OpenAlex 622 FWCI50.70086157