Results 51 to 60 of about 8,378,989 (251)

Rethinking masked image modelling for medical image representation

Medical Image Anal.
Masked Image Modelling (MIM), a form of self-supervised learning, has garnered significant success in computer vision by improving image representations using unannotated data.
Yutong Xie, Lin Gu, Tatsuya Harada, Jianpeng Zhang, Yong Xia, Qi Wu   +5 more
semanticscholar   +1 more source

Improving Wearable-Based Activity Recognition Using Image Representations

Sensors, 2022
Activity recognition based on inertial sensors is an essential task in mobile and ubiquitous computing. To date, the best performing approaches in this task are based on deep learning models.
Alejandro Sanchez Guinea, Mehran Sarabchian, Max Mühlhäuser   +2 more
doaj   +1 more source

Fuzzy Morphological Polynomial Image Representation [PDF]

EURASIP Journal on Advances in Signal Processing, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chaparro LuisF, Huang Chin-Pan
openaire   +4 more sources

SAR image denoising method based on sparse representation

The Journal of Engineering, 2019
The coherent nature of radar illumination causes the speckle effect, which gives the synthetic aperture radar (SAR) image its noisy appearance. The probability distribution of speckle noise is multiplicative rather than additive, which makes the ...
Hao-Tian Zhou, Liang Chen, Bo Fu, Hao Shi   +3 more
doaj   +1 more source

Sparse image representation with epitomes [PDF]

CVPR 2011, 2011
Computer Vision and Pattern Recognition, Colorado Springs : United States (2011)
Benoît, Louise, Mairal, Julien, Bach, Francis, Ponce, Jean   +3 more
openaire   +3 more sources

A spatial attentive and temporal dilated (SATD) GCN for skeleton‐based action recognition

CAAI Transactions on Intelligence Technology, 2022
Current studies have shown that the spatial‐temporal graph convolutional network (ST‐GCN) is effective for skeleton‐based action recognition. However, for the existing ST‐GCN‐based methods, their temporal kernel size is usually fixed over all layers ...
Jiaxu Zhang, Gaoxiang Ye, Zhigang Tu, Yongtao Qin, Qianqing Qin, Jinlu Zhang, Jun Liu   +6 more
doaj   +1 more source

Colour Neural Descriptors for Instance Retrieval Using CNN Features and Colour Models

IEEE Access, 2021
Image representations in the form of neural activations derived from intermediate layers of deep neural networks are the state-of-the-art descriptors for instance based retrieval.
Surajit Saikia, Laura Fernandez-Robles, Eduardo Fidalgo Fernandez, Enrique Alegre   +3 more
doaj   +1 more source

New shape descriptor in the context of edge continuity

CAAI Transactions on Intelligence Technology, 2019
The object contour is a significant cue for identifying and categorising objects. The current work is motivated by indicative researches that attribute object contours to edge information.
Seba Susan, Prachi Agrawal, Prachi Agrawal, Minni Mittal, Srishti Bansal   +4 more
doaj   +1 more source

Multimodal Representation Learning With Text and Images [PDF]

, 2022
Aishwarya Jayagopal, Ankireddy Monica Aiswarya, Ankita Garg, Srinivasan Kolumam Nandakumar   +3 more
openalex   +1 more source

Image representation using vector wavelets [PDF]

Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol. IV. Conference D: Architectures for Vision and Pattern Recognition,, 2003
A new layered representation of images is proposed using, what one may call, vector wavelets defined by generalized Hermite polynomials. This representation has some special properties: it is distinct from and superior to the other wavelet schemes of the literature; it is stable; it transforms the image into matrices of coefficients in the same manner ...
Venkatesh, YV, Ramani, K, Nandini, R
openaire   +2 more sources