Results 211 to 220 of about 151,626 (262)

Improving Small Object Detection

2017 4th IAPR Asian Conference on Pattern Recognition (ACPR), 2017
While the problem of detecting generic objects in natural scene images has been the subject of research for a long time, the problem of detection of small objects has been largely ignored. While generic object detectors perform well on medium and large sized objects, they perform poorly for the overall task of recognition of small objects.
Harish Krishna, C. V. Jawahar
openaire   +1 more source

The Power of Tiling for Small Object Detection

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019
Deep neural network based techniques are state-of-the-art for object detection and classification with the help of the development in computational power and memory efficiency. Although these networks are adapted for mobile platforms with sacrifice in accuracy; the resolution increase in visual sources makes the problem even harder by raising the ...
F. Ozge Unel, Burak Oguz Özkalayci, Cevahir Çigla   +2 more
openaire   +1 more source

Small Object Detection Based on RVR

Proceedings of the 2017 International Conference on Robotics and Artificial Intelligence, 2017
In the visual robotics area, we should dope out a solution to detect small objects. We need to explore much more precise detection methods to achieve better performance. In this paper, a small object detection method based on the Relevance Vector Regression (RVR) is proposed.
Ruiming Liu, Yong Liu, Jiawei Huang
openaire   +1 more source

R-CNN for Small Object Detection

2017
Existing object detection literature focuses on detecting a big object covering a large part of an image. The problem of detecting a small object covering a small part of an image is largely ignored. As a result, the state-of-the-art object detection algorithm renders unsatisfactory performance as applied to detect small objects in images.
Chenyi Chen, Ming-Yu Liu 0001, Oncel Tuzel, Jianxiong Xiao   +3 more
openaire   +1 more source

Small Object Detection by Generative and Discriminative Learning

2020 25th International Conference on Pattern Recognition (ICPR), 2021
With the development of deep convolutional neural networks (CNNs), the object detection accuracy has been greatly improved. But the performance of small object detection is still far from satisfactory, mainly because small objects are so tiny that the information contained in the feature map is limited.
Yi Gu, Jie Li 0002, Chentao Wu, Weijia Jia 0001, Jianping Chen   +4 more
openaire   +1 more source

The Detection of Orientation of Small Objects

Perception, 1997
Visual information processing in primate cortex is based on a highly ordered representation of the surrounding world. In addition to the retinotopic mapping of the visual field, systematic variations of the orientation tuning of neurons are described electrophysiologically for the first stages of the visual stream.
J M Zanker, M P Davey
openaire   +1 more source

Image Factorization for Small Object Detection

IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, 2008
Blind source separation techniques, specifically independent components analysis and Nonnegative Image Factorization have seen increasing use in the hyperspectral community for automated image exploitation. These techniques differ from more traditional image reduction methods such as principal components in that they make different statistical ...
openaire   +1 more source

Detection of small moving object by optical flow

Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol.II. Conference B: Pattern Recognition Methodology and Systems, 2003
Deals with a method of detecting small moving objects in an image sequence. Although it is difficult to recognize small objects in a single image, if they are moving in an image sequence, it is easy to detect them, no matter how small they are. In order to detect small objects with robotic eyes, The authors propose a new interpretation of optical flow.
Takashi Hirai, Koichi Sasakawa, Shin'ichi Kuroda, Shigeki Ikebata   +3 more
openaire   +1 more source

Object detection and classification for small objects in/on water

Journal of Electronic Imaging, 2022
Asif Iqbal 0009, Manuel G. García, Lakshmi Chellappan, Nicholas R. Gans   +3 more
openaire   +1 more source