Results 21 to 30 of about 38,348 (250)

Towards operational phytoplankton recognition with automated high-throughput imaging, near-real-time data processing, and convolutional neural networks

Frontiers in Marine Science, 2022
Plankton communities form the basis of aquatic ecosystems and elucidating their role in increasingly important environmental issues is a persistent research question.
Kaisa Kraft, Otso Velhonoja, Tuomas Eerola, Sanna Suikkanen, Timo Tamminen, Lumi Haraguchi, Pasi Ylöstalo, Sami Kielosto, Milla Johansson, Lasse Lensu, Heikki Kälviäinen, Heikki Haario, Jukka Seppälä   +12 more
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Combined Improved Dirichlet Models and Deep Learning Models for Road Extraction from Remote Sensing Images

Canadian Journal of Remote Sensing, 2021
Combining Dirichlet Mixture Models (DMM) with deep learning models for road extraction is an attractive study topic. Benefiting from DMM, the manually labeling work is alleviated.
Ziyi Chen, Cheng Wang, Jonathan Li, Bineng Zhong, Jixiang Du, Wentao Fan   +5 more
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Survey on Action Quality Assessment Methods in Video Understanding [PDF]

Jisuanji kexue, 2022
Action quality assessment refers to evaluate the action quality performed by human in video,such as calculating the quality score,level and evaluating the performance of different people.It is an important direction in video understanding and computer ...
ZHANG Hong-bo, DONG Li-jia, PAN Yu-biao, HSIAO Tsung-chih, ZHANG Hui-zhen, DU Ji-xiang
doaj   +1 more source

Adaboost-like End-to-End multiple lightweight U-nets for road extraction from optical remote sensing images

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, Cheng Wang, Jonathan Li, Wentao Fan, Jixiang Du, Bineng Zhong   +5 more
doaj   +1 more source

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
doaj   +1 more source

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, Tuomas Eerola, Vincent Biard, Piia Mutka, Marja Niemi, Mervi Kunnasranta, Heikki Kälviäinen   +6 more
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A Contrastive Learning Network for Performance Metric and Assessment of Physical Rehabilitation Exercises

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, Qing Lei, Hongbo Zhang, Jixiang Du, Shangce Gao   +4 more
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Self-Attention in Reconstruction Bias U-Net for Semantic Segmentation of Building Rooftops in Optical Remote Sensing Images

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, Dilong Li, Wentao Fan, Haiyan Guan, Cheng Wang, Jonathan Li   +5 more
doaj   +1 more source

Building and road detection from remote sensing images based on weights adaptive multi-teacher collaborative distillation using a fused knowledge

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, Liai Deng, Jing Gou, Cheng Wang, Jonathan Li, Dilong Li   +5 more
doaj   +1 more source

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, Pankaj Kumar Sa, Banshidhar Majhi, Sambit Bakshi   +3 more
doaj   +1 more source