Efficient multi-scale attention module with cross-spatial learning
D Ouyang, S He, G Zhang, M Luo… - ICASSP 2023-2023 …, 2023 - ieeexplore.ieee.org
Remarkable effectiveness of the channel or spatial attention mechanisms for producing
more discernible feature representation are illustrated in various computer vision tasks …
more discernible feature representation are illustrated in various computer vision tasks …
Swin-transformer-enabled YOLOv5 with attention mechanism for small object detection on satellite images
H Gong, T Mu, Q Li, H Dai, C Li, Z He, W Wang, F Han… - Remote Sensing, 2022 - mdpi.com
Object detection has made tremendous progress in natural images over the last decade.
However, the results are hardly satisfactory when the natural image object detection …
However, the results are hardly satisfactory when the natural image object detection …
EIU-Net: Enhanced feature extraction and improved skip connections in U-Net for skin lesion segmentation
Z Yu, L Yu, W Zheng, S Wang - Computers in Biology and Medicine, 2023 - Elsevier
Skin lesion segmentation is a computer-aided diagnosis method for quantitative analysis of
melanoma that can improve efficiency and accuracy. Although many methods based on U …
melanoma that can improve efficiency and accuracy. Although many methods based on U …
Real-time object detection network in UAV-vision based on CNN and transformer
T Ye, W Qin, Z Zhao, X Gao, X Deng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) play an important role in conducting automatic patrol
inspections of cities, which can ensure the safety of urban residents' life and property and …
inspections of cities, which can ensure the safety of urban residents' life and property and …
Video Fire Detection Methods Based on Deep Learning: Datasets, Methods, and Future Directions
C **, T Wang, N Alhusaini, S Zhao, H Liu, K Xu… - Fire, 2023 - mdpi.com
Among various calamities, conflagrations stand out as one of the most-prevalent and-
menacing adversities, posing significant perils to public safety and societal progress …
menacing adversities, posing significant perils to public safety and societal progress …
YOLO-Granada: a lightweight attentioned Yolo for pomegranates fruit detection
J Zhao, C Du, Y Li, M Mudhsh, D Guo, Y Fan, X Wu… - Scientific Reports, 2024 - nature.com
Pomegranate is an important fruit crop that is usually managed manually through
experience. Intelligent management systems for pomegranate orchards can improve yields …
experience. Intelligent management systems for pomegranate orchards can improve yields …
Multi-level attention interactive network for cloud and snow detection segmentation
L Ding, M **a, H Lin, K Hu - Remote Sensing, 2023 - mdpi.com
The ground is typically hidden by cloud and snow in satellite images, which have a similar
visible spectrum and complex spatial distribution characteristics. The detection of cloud and …
visible spectrum and complex spatial distribution characteristics. The detection of cloud and …
A multi-scale traffic object detection algorithm for road scenes based on improved YOLOv5
Object detection in road scenes is a task that has recently become popular and it is also an
important part of intelligent transportation systems. Due to the different locations of cameras …
important part of intelligent transportation systems. Due to the different locations of cameras …
A high-precision vehicle detection and tracking method based on the attention mechanism
J Wang, Y Dong, S Zhao, Z Zhang - Sensors, 2023 - mdpi.com
Vehicle detection and tracking technology plays an important role in intelligent
transportation management and control systems. This paper proposes a novel vehicle …
transportation management and control systems. This paper proposes a novel vehicle …
Hyperspectral image classification using a superpixel–pixel–subpixel multilevel network
Hyperspectral images (HSIs) often contain irregular ground cover with mixed spectral
features and noise, which makes it challenging to identify the ground cover using only pixel …
features and noise, which makes it challenging to identify the ground cover using only pixel …