Results 11 to 20 of about 36,642 (227)
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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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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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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Direction Estimation for Pedestrian Monitoring System in Smart Cities: An HMM Based Approach
IEEE Access, 2016 The paper proposes a novel approach for direction estimation of a moving pedestrian as perceived in a 2-D coordinate of field camera. The proposed direction estimation method is intended for pedestrian monitoring in traffic control systems.
Rahul Raman +3 more
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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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Road extraction in remote sensing data: A survey
International Journal of Applied Earth Observations and Geoinformation, 2022 Automated extraction of roads from remotely sensed data come forth various usages ranging from digital twins for smart cities, intelligent transportation, urban planning, autonomous driving, to emergency management. Many studies have focused on promoting
Ziyi Chen +9 more
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Combining Morphological and Histogram based Text Line Segmentation in the OCR Context [PDF]
Journal of Data Mining and Digital Humanities, 2021 Text line segmentation is one of the pre-stages of modern optical character recognition systems. The algorithmic approach proposed by this paper has been designed for this exact purpose.
Pit Schneider
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