[HTML][HTML] 2D and 3D object detection algorithms from images: A Survey
W Chen, Y Li, Z Tian, F Zhang - Array, 2023 - Elsevier
Object detection is a crucial branch of computer vision that aims to locate and classify
objects in images. Using deep convolutional neural networks (CNNs) as the primary …
objects in images. Using deep convolutional neural networks (CNNs) as the primary …
Underwater object detection: architectures and algorithms–a comprehensive review
S Fayaz, SA Parah, GJ Qureshi - Multimedia Tools and Applications, 2022 - Springer
Underwater object detection is an essential step in image processing and it plays a vital role
in several applications such as the repair and maintenance of sub-aquatic structures and …
in several applications such as the repair and maintenance of sub-aquatic structures and …
Yolov4: Optimal speed and accuracy of object detection
A Bochkovskiy, CY Wang, HYM Liao - ar** from high spatial resolution images is important in many
practical applications, such as emergency response. Numerous studies and methods have …
practical applications, such as emergency response. Numerous studies and methods have …
Matrix SegNet: a practical deep learning framework for landslide map** from images of different areas with different spatial resolutions
Practical landslide inventory maps covering large-scale areas are essential in emergency
response and geohazard analysis. Recently proposed techniques in landslide detection …
response and geohazard analysis. Recently proposed techniques in landslide detection …
A multiscale feature fusion enhanced CNN with the multiscale channel attention mechanism for efficient landslide detection (MS2LandsNet) using medium-resolution …
W Lu, Y Hu, W Shao, H Wang, Z Zhang… - International Journal of …, 2024 - Taylor & Francis
Deep learning (DL) models have been widely used for remote sensing-based landslide
map** due to their impressive capabilities for automatic information extraction. However …
map** due to their impressive capabilities for automatic information extraction. However …
Contrastive learning-based robust object detection under smoky conditions
W Wu, H Chang, Y Zheng, Z Li… - Proceedings of the …, 2022 - openaccess.thecvf.com
Object detection is to effectively find out interested targets in images and then accurately
determine their categories and positions. Recently many excellent methods have been …
determine their categories and positions. Recently many excellent methods have been …
Visual fault detection of multiscale key components in freight trains
Y Zhang, Y Zhou, H Pan, B Wu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Fault detection for key components in the braking system of freight trains is critical for
ensuring railway transportation safety. Despite the frequently employed methods based on …
ensuring railway transportation safety. Despite the frequently employed methods based on …