Results 171 to 180 of about 23,891 (225)

An improved YOLOv8n model for in-field detection of pests and diseases in pakchoi. [PDF]

Front Plant Sci
Zhu Y, Han Y, Yin Y, Zhao S, Lan Y, Huang D.   +5 more
europepmc   +1 more source

LHO-net: A Lightweight Steel Defect Detection Framework Based on Cross-Scale Feature Selection and Adaptive Optimization. [PDF]

Sensors (Basel)
Wang Q, Yan H.
europepmc   +1 more source

MSFE-YOLO: A Steel Surface Defect Detection Algorithm Integrating Multi-Scale Frequency Domain and Defect-Aware Attention. [PDF]

Sensors (Basel)
Su S, Shen J, Lin P, Tang W, Zhang W, Chen Z.   +5 more
europepmc   +1 more source

Efficient target detection method based on wavelet transform and progressive feature pyramid network: a case study of power grid inspection. [PDF]

Sci Rep
Ye J, Yuqi B, Wendi W, Bo Q, Hai L.
europepmc   +1 more source

Bidirectional Matrix Feature Pyramid Network for Object Detection

2020 25th International Conference on Pattern Recognition (ICPR), 2021
Feature pyramids are widely used to improve scale invariance for object detection. Most methods just map the objects to feature maps with relevant square receptive fields, but rarely pay attention to the aspect ratio variation, which is also an important
Jianbo Su
exaly   +4 more sources

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Scenario Context-Aware-Based Bidirectional Feature Pyramid Network for Remote Sensing Target Detection

IEEE Geoscience and Remote Sensing Letters, 2022
Compared with ordinary optical images, the situation of remote sensing images is much more complicated. The problems caused by the shooting angles over the Earth’s surface are: 1) some target categories with more complex shooting environments greatly ...
GUANYI Li, Baohua Jin, Qiqiang Chen
exaly   +3 more sources

A sub-pixel convolution-based improved bidirectional feature pyramid network for pansharpening

Remote Sensing Letters, 2023
Due to the dramatic scale changes in different ground object characteristics, effectively utilizing multi-scale features of remote sensing images represents a major challenge.
Yuhao Jiang, Qiqiang Chen
exaly   +3 more sources