Results 301 to 310 of about 8,058,581 (353)

Stacked U-Shape Network With Channel-Wise Attention for Salient Object Detection

IEEE transactions on multimedia, 2021
This paper addresses the core issue of how to learn powerful features for saliency. We have two major observations. First, feature maps of different layers in convolutional neural networks play different roles in saliency detection.
Junxia Li, Zefeng Pan, Qingshan Liu, Ziyang Wang   +3 more
semanticscholar   +1 more source

Shape detection with limited memory

Pattern Recognition, 1991
Abstract A new approach to shape detection through the generalized Hough transform is introduced. The method is based on a limited memory implementation of the transform, that reduces its cost and makes it suitable for hardware implementation.
ALBANESI, MARIA GRAZIA, FERRETTI, MARCO
openaire   +2 more sources

Ring-Shaped Hotspot Detection

IEEE Transactions on Knowledge and Data Engineering, 2016
Given a set of activity points (e.g., crime, disease locations), Ring-Shaped Hotspot Detection (RHD) finds ring-shaped areas where the concentration of activities inside is significantly higher than that outside. RHD is societally important for applications such as environmental criminology, epidemiology, and biology to investigate evasive patterns ...
Emre Eftelioglu, Shashi Shekhar 0001, James M. Kang, Christopher Farah   +3 more
openaire   +1 more source

Shape Detection and Reconstruction of Soft Robotic Arm Based on Fiber Bragg Grating Sensor Array

IEEE International Conference on Robotics and Biomimetics, 2018
For the problem of shape detection and reconstruction of soft robotic arm with extensive degrees of freedom, in this paper, a distributed Fiber Bragg Grating (FBG) sensor array is designed and the shape reconstruction algorithm based on curvature ...
Zhiyuan Zhang, Xueqian Wang, S. Wang, Deshan Meng, Bin Liang   +4 more
semanticscholar   +1 more source

Progressive Contour Regression for Arbitrary-Shape Scene Text Detection

Computer Vision and Pattern Recognition, 2021
State-of-the-art scene text detection methods usually model the text instance with local pixels or components from the bottom-up perspective and, therefore, are sensitive to noises and dependent on the complicated heuristic post-processing especially for
Pengwen Dai, Sanyi Zhang, Hua Zhang, Xiaochun Cao   +3 more
semanticscholar   +1 more source

Detection of skewed-symmetrical shape

Proceedings of 1st International Conference on Image Processing, 2002
There is a new approach to define objects qualitatively and hierarchically by generic shapes (we call them primitives) arranged by generic relations so that a class of objects has the same description and to recognize them in a parallel and bottom-up way in the image.
Kazuhide Sugimoto, Fumiaki Tomita
openaire   +1 more source

Arbitrary Shape Text Detection via Segmentation With Probability Maps

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
Arbitrary shape text detection is a challenging task due to the significantly varied sizes and aspect ratios, arbitrary orientations or shapes, inaccurate annotations, etc.
Shi-Xue Zhang, Xiaobin Zhu, Lei Chen, Jie-Bo Hou, Xu-Cheng Yin   +4 more
semanticscholar   +1 more source

SHAPE-BASED ADULT IMAGE DETECTION

International Journal of Image and Graphics, 2005
This paper investigates adult images detection based on the shape features of skin regions. In order to accurately detect skin regions, we propose a skin detection method using multi-Bayes classifiers in the paper. Based on skin color detection results, shape features are extracted and fed into a boosted classifier to decide whether or not the skin ...
Qing-Fang Zheng, Wei Zeng 0006, Wen Gao 0001, Weiqiang Wang 0001   +3 more
openaire   +1 more source

Quantum Interference and Shape Detection

2018
We address the problem of shape detection in settings where large shape deformations and occlusions occur with clutter noise present. We propose a quantum model for shapes by applying the quantum path integral formulation to an existing energy model for shapes (a Bayesian-derived cost function).
Davi Geiger, Zvi M. Kedem
openaire   +1 more source

Rethinking the U-Shape Structure for Salient Object Detection

IEEE Transactions on Image Processing, 2021
The U-shape structure has shown its advantage in salient object detection for efficiently combining multi-scale features. However, most existing U-shape-based methods focused on improving the bottom-up and top-down pathways while ignoring the connections
Jiangjiang Liu, Zhi-Ang Liu, Pai Peng, Ming-Ming Cheng   +3 more
semanticscholar   +1 more source