Results 21 to 30 of about 559,979 (314)
International Journal of Applied Earth Observations and Geoinformation, 2021 Road extraction from optical remote sensing images has many important application scenarios, such as navigation, automatic driving and road network planning, etc. Current deep learning based models have achieved great successes in road extraction.
Ziyi Chen +5 more
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Review of 2D Animation Restoration in Visual Domain Based on Deep Learning [PDF]
Jisuanji kexue yu tansuo, 2023 Traditional 2D animation is a distinct visual style with a production process and image characteristics that differ significantly from real-life scenes. It usually requires drawing pictures frame by frame and saving them as bitmaps.
LI Yuhang, XIE Liangbin, DONG Chao
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Image Search with Text Feedback by Visiolinguistic Attention Learning [PDF]
, 2020 Image search with text feedback has promising impacts in various real-world applications, such as e-commerce and internet search. Given a reference image and text feedback from user, the goal is to retrieve images that not only resemble the input image ...
Bazzani, L +3 more
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SealID: Saimaa Ringed Seal Re-Identification Dataset
Sensors, 2022 Wildlife camera traps and crowd-sourced image material provide novel possibilities to monitor endangered animal species. The massive data volumes call for automatic methods to solve various tasks related to population monitoring, such as the re ...
Ekaterina Nepovinnykh +6 more
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IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 Human activity analysis in the legal monitoring environment plays an important role in the physical rehabilitation field, as it helps patients with physical injuries improve their postoperative conditions and reduce their medical costs. Recently, several
Long Yao +4 more
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Inter-task association critic for cross-resolution person re-identification [PDF]
, 2020 Person images captured by unconstrained surveillance cameras often have low resolutions (LR). This causes the resolution mismatch problem when matched against the high-resolution (HR) gallery images, negatively affecting the performance of person re ...
Cheng, Z +4 more
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Remote Sensing, 2021 Deep learning models have brought great breakthroughs in building extraction from high-resolution optical remote-sensing images. Among recent research, the self-attention module has called up a storm in many fields, including building extraction. However,
Ziyi Chen +5 more
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International Journal of Applied Earth Observations and Geoinformation, 2023 Knowledge distillation is one effective approach to compress deep learning models. However, the current distillation methods are relatively monotonous. There are still rare studies about the combination of distillation strategies using multiple types of ...
Ziyi Chen +5 more
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Computer Vision and Pattern Recognition in Environmental Informatics
Computer Vision and Pattern Recognition, 2015 Jun Zhou, Xiao Bai, Terry Caelli
openalex +3 more sources
Lattice and Imbalance Informed Multi-Label Learning
IEEE Access, 2020 In a multi-label dataset, an instance is given a single representation across all possible labels. Despite the mutual sharing of instances among the labels, the membership of the instances vary from label to label.
Payel Sadhukhan, Sarbani Palit
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