Results 191 to 200 of about 5,835,263 (236)

BATFNet: Boundary-Aware Transformer Fusion Network for RGB-DSM Semantic Segmentation of Remote Sensing Images. [PDF]

Sensors (Basel)
Tong Y, Tang M, Zhang Y, Huang Y, Huang J, He Y, Liu Y, Akpokodje E, Zheng D.   +8 more
europepmc   +1 more source

Object tracking algorithm based on deformable attention mechanism. [PDF]

Sci Rep
Liu Q, Yu N, Cheng J.
europepmc   +1 more source

TI-YOLO: A Lightweight and Efficient Anatomical Structure Detection Model for Tracheal Intubation. [PDF]

Bioengineering (Basel)
Tian Y, Yang C, Sang L, Ping C, Feng L, Chen W, Wang H, Li W, Han Y.   +8 more
europepmc   +1 more source

YOLO-UTD: A Domain-Specific Detection Framework for Small Objects in UAV Traffic Surveillance. [PDF]

Sensors (Basel)
Huang H, Li M, Zhang J, Li Y.
europepmc   +1 more source

A robust small-object detection model for UAV aerial imagery under complex background clutter. [PDF]

PLoS One
He Y, Xiao R, Tang Y, Pang Y.
europepmc   +1 more source

Lightweight Visual Detection Framework for Accurate Pepper Pest Detection Under Complex Field Conditions. [PDF]

Insects
Dai M, Hu C, Miao H.
europepmc   +1 more source

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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 property of object instances. It will lead to a poor match between rectangular objects and assigned
Jianbo Su
exaly   +3 more sources

An Insulator defect detection network combining bidirectional feature pyramid network and attention mechanism in unmanned aerial vehicle images

Engineering Applications of Artificial Intelligence
Insulator defect detection is a crucial aspect of power line inspection. To achieve effective detection of insulator defects, a deep learning-based object detection method is applied to unmanned aerial vehicles, offering advantages such as accuracy, efficiency, and low cost.
Xiaoxia Yang, Ronghao Yang
exaly   +3 more sources

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

IEEE Geoscience and Remote Sensing Letters, 2022
Qiqiang Chen, Xu Yang, Guanyi Li
exaly   +3 more sources

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

Remote Sensing Letters, 2023
Qiqiang Chen, Yuhao Jiang
exaly   +2 more sources