Results 301 to 310 of about 1,485,416 (350)

Enhanced feature extraction YOLO industrial small object detection algorithm based on receptive-field attention and multi-scale features

Measurement science and technology
To guarantee the stability and safety of industrial production, it is necessary to regulate the behavior of employees. However, the high background complexity, low pixel count, occlusion and fuzzy appearance can result in a high leakage rate and poor ...
Hongfeng Tao, Yuechang Zheng, Yue Wang, Jier Qiu, Vladimir Stojanović   +4 more
semanticscholar   +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, Oncel Tuzel, Jianxiong Xiao   +3 more
openaire   +1 more source

Small Objects Detection Using Transformer-Cnn

SSRN Electronic Journal, 2022
Chun-Liang Lin, Yan-Lin Chen, Yu-Chen Lin   +2 more
openaire   +1 more source

Small Object Detection Method Based on Global Multi-Level Perception and Dynamic Region Aggregation

IEEE transactions on circuits and systems for video technology (Print)
In the field of object detection, detecting small objects is an important and challenging task. However, most existing methods tend to focus on designing complex network structures, lack attention to global representation, and ignore redundant noise and ...
Zhiqin Zhu, Renzhong Zheng, Guanqiu Qi, Shuang Li, Yuanyuan Li, Xinbo Gao   +5 more
semanticscholar   +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

Survey of small object detection

Journal of Image and Graphics, 2023
Xiaoying Pan, Ningxing Jia, Yuanzhen Mu, Xuanrong Gao   +3 more
openaire   +1 more source

Small object detection with random decision forests

2017 IEEE International Conference on Unmanned Systems (ICUS), 2017
The random decision forests method is proposed to detect small object such as UAVs and aircrafts when they occupy a small portion of the field of view, with complex backgrounds, and are filmed by a camera that itself moves. The random decision forests is learned with discriminative decision trees, where every tree internal node is a discriminative ...
Juanjuan Ma, Quan Pan, Jinwen Hu, Chunhui Zhao, Yaning Guo, Dong Wang   +5 more
openaire   +1 more source

GCPDFFNet: Small Object Detection for Rice Blast Recognition

Phytopathology®
Early detection of rice blast disease is pivotal to ensure rice yield. We collected in situ images of rice blast and constructed a rice blast dataset based on variations in lesion shape, size, and color. Given that rice blast lesions are small and typically exhibit round, oval, and fusiform shapes, we proposed a small object detection model named ...
Dejin Xie, Wei Ye, Yining Pan, Jiaoyu Wang, Haiping Qiu, Hongkai Wang, Zhaoxing Li, Tianhao Chen   +7 more
openaire   +2 more sources

MICPL: Motion-Inspired Cross-Pattern Learning for Small-Object Detection in Satellite Videos

IEEE Transactions on Neural Networks and Learning Systems
For small-object detection, vision patterns can only provide limited support to feature learning. Most prior schemes mainly depend on a single vision pattern to learn object features, seldom considering more latent motion patterns.
Shengjia Chen, Luping Ji, Sicheng Zhu, Mao Ye   +3 more
semanticscholar   +1 more source

Small object detection based on WavesNET

2022 10th International Conference on Information Systems and Computing Technology (ISCTech), 2022
Zhengnan Li, Ji Zhao, Xiaowei Lu
openaire   +1 more source