Results 201 to 210 of about 31,527 (257)

YOLO-LSBA: A high-precision model for detecting stems of small-sized cherry tomatoes. [PDF]

Sci Rep
Liu Q, Chen F, Zhang H, Cao B, Yang J, Zhang N, Qiao Y, Liu Z, Mao J, Chen M.   +9 more
europepmc   +1 more source

Laplacian reconstructive network for guided thermal super-resolution. [PDF]

Sci Rep
Kasliwal A, Gakhar I, Kamani A, Seth P, Verma U.   +4 more
europepmc   +1 more source

Realistic PET image synthesis from MRI for automated inference of brain atrophy and Alzheimer's. [PDF]

iScience
Theodorou B, Dadu A, Avants B, Nalls M, Sun J, Faghri F.   +5 more
europepmc   +1 more source

Edge-guided multi-scale instance segmentation for railway track. [PDF]

Sci Rep
Lin J, Yang W, Du X.
europepmc   +1 more source

FMW-YOLO: A Frequency-Enhanced and Multi-Scale Context-Aware Framework for PCB Defect Detection. [PDF]

Micromachines (Basel)
Li Y, Tian S, Sun W, Chen L, Li J, Hu J, Meng N.   +6 more
europepmc   +1 more source

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Complex Dual-Tree Pyramid Scattering Transformer

IEEE Transactions on Neural Networks and Learning Systems
Attention-based transformer networks have recently played an increasingly important role in computer vision tasks. However, since pixel-by-pixel attention multiplication does not involve constraint assumptions such as spatial invariance, the computational complexity grows quadratically with the increase of input pixels. Therefore, this article proposes
Xiaotong Li, Licheng Jiao, Lingling Li   +2 more
exaly   +3 more sources

Complex documents images segmentation based on steerable pyramid features

International Journal on Document Analysis and Recognition, 2010
Page segmentation and classification is very important in document layout analysis system before it is presented to an OCR system or for any other subsequent processing steps. In this paper, we propose an accurate and suitably designed system for complex documents segmentation. This system is based on steerable pyramid transform. The features extracted
Slim Kanoun, Remy Mullot, Adel M Alimi
exaly   +2 more sources

Recognition of complex human activities by using sequential pyramid matching

2012 20th Signal Processing and Communications Applications Conference (SIU), 2012
Human action recognition is a topic of increasing interest in recent years. Most of the work is focused on actions that have simple, periodic structure such as walking, running and hugging, but our everyday life contains very different types of actions with challenging problems. Space-time interest points and the bag of words approach have been shown a
Aytac Cavent, Nazli Ikizler-Cinbis
exaly   +2 more sources

Life's Complexity Pyramid

Science, 2002
How are the myriad components inside the cell connected together, enabling the cell to carry out its specific functions? In their Perspective, [Oltvai and BarabAisi][1] discuss two new studies ([Lee][2] et al ., [Milo][3] et al .) that investigate both biological networks of intracellular components and nonbiological networks such as the World Wide Web.
Zoltán N. Oltvai, Albert-László Barabási   +1 more
openaire   +1 more source

A low complexity overcomplete directional image pyramid

Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429), 2004
An undecimated directional filter bank (UDFB) derived from the DFB originally proposed by Bamberger and Smith is proposed. The new UDFB has excellent orientation selectivity, and maintains the low computational complexity from its predecessor. While over complete, the UDFB presents other properties like shift invariance, desirable for some image ...
José-Gerardo Rosiles, Mark J. T. Smith
openaire   +1 more source