Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Go Irie"'
Publikováno v:
IEEE Access, Vol 12, Pp 39484-39494 (2024)
Two-dimensional (2D) image registration is a natural choice for simultaneous object pose estimation and object recognition. However, it was not designed to perform object segmentation, which is critical for object-picking applications in warehouse au
Externí odkaz:
https://doaj.org/article/26ad1ebe9a324e4cb0d483fce93dc2e0
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:3161-3169
Unsupervised domain adaptation (UDA) has been highly successful in transferring knowledge acquired from a label-rich source domain to a label-scarce target domain. Open-set domain adaptation (open-set DA) and universal domain adaptation (UniDA) have
Publikováno v:
Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.
Publikováno v:
Pattern Recognition Letters. 152:372-381
Accurate object recognition and pose estimation models are essential for practical applications of robot arms, such as picking products on a shelf. Training such a model often requires a large-scale dataset with qualified labels for both object class
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Rotation is frequently listed as a candidate for data augmentation in contrastive learning but seldom provides satisfactory improvements. We argue that this is because the rotated image is always treated as either positive or negative. The semantics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e861e156cd8e5152effc6229bbcff070
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031063800
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::776f0b7604d29e781c592034fb99a23f
https://doi.org/10.1007/978-3-031-06381-7_16
https://doi.org/10.1007/978-3-031-06381-7_16
Publikováno v:
Multimedia Tools and Applications. 80:1055-1074
Computational models of saliency estimation have been studied in a wide range of research fields, including visual perception, image processing, computer vision, multimedia, and their intersections. However, most of them seek to simulate scene viewin
Publikováno v:
2021 IEEE International Conference on Image Processing (ICIP).
Publikováno v:
IJCAI
Lifelong learning aims to train a highly expressive model for a new task while retaining all knowledge for previous tasks. However, many practical scenarios do not always require the system to remember all of the past knowledge. Instead, ethical cons