Results 11 to 20 of about 554,243 (265)

Self‐supervised non‐rigid structure from motion with improved training of Wasserstein GANs

IET Computer Vision, 2023
This study proposes a self‐supervised method to reconstruct 3D limbic structures from 2D landmarks extracted from a single view. The loss of self‐consistency can be reduced by performing a random orthogonal projection of the reconstructed 3D structure ...
Yaming Wang, Xiangyang Peng, Wenqing Huang, Xiaoping Ye, Mingfeng Jiang   +4 more
doaj   +1 more source

U-Net Based Road Area Guidance for Crosswalks Detection from Remote Sensing Images

Canadian Journal of Remote Sensing, 2021
Due to the wide distribution of crosswalks over the road nets, the finding of impaired crosswalk marks is usually long-time delayed, which may put crosswalk pedestrians into danger.
Ziyi Chen, Ruixiang Luo, Jonathan Li, Jixiang Du, Cheng Wang   +4 more
doaj   +1 more source

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
doaj   +1 more source

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
doaj   +1 more source

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

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, Chen, Y, Gong, S, IEEE Conference on Computer Vision and Pattern Recognition   +3 more
core   +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
doaj   +1 more source

Deep Semantic Clustering by Partition Confidence Maximisation [PDF]

, 2020
By simultaneously learning visual features and data grouping, deep clustering has shown impressive ability to deal with unsupervised learning for structure analysis of high-dimensional visual data. Existing deep clustering methods typically rely on local
Gong, S, Huang, J, IEEE Conference on Computer Vision and Pattern Recognition, Zhu, X   +3 more
core   +1 more source