Model structure diagram of object detection algorithm based on fused image salient features. The specific structure of the model can be found in the appendix. In addition, inspired by [32, 50-52], the CBAM [33] module is introduced into the ELAN-W structure of YOLOv7. The core idea is...
In this paper, an object detection algorithm for UAV reconnaissance image based on deep convolution network is proposed. The image is adaptively divided according to the UAV flight parameters and the payload parameters before sent into the network. Through this way, small objects can be located ...
Training an object detection machine learning algorithm is frequently a resource-intensive process. Once trained, you can use your model to run inference, i.e., get a prediction on new data from the domain you have trained on. The inference process may not be as resource-intensive as the tr...
et al. Correction: ODD-YOLOv8: an algorithm for small object detection in UAV imagery. J Supercomput 81, 384 (2025). https://doi.org/10.1007/s11227-024-06829-9 Download citation Published09 January 2025 DOIhttps://doi.org/10.1007/s11227-024-06829-9 Share this article Anyone you share ...
Then, an object detection algorithm is combined with a depth camera ranging algorithm, which can inspect the 3D coordinates of the weld groove in real-time with limited computing resources. The algorithm was deployed on a host computer for welding robot guiding experiments, and the results showed...
摘要: Neural Computing and Applications - Object detection algorithm plays an important role in the field of chemical plant safety identification. In the field operation chemical plant scene, usually the...关键词: Object detection Pose estimation Graph convolution Local feature ...
To solve this issue, we attend to study the object detection algorithm in the scenarios for both daytime as well as dark scene. Considering the high efficiency of the YOLO algorithm under sufficient light conditions as well as the needs of object detection under poor light, this paper proposes...
Object detection, a crucial aspect of computer vision, has seen significant advancements in accuracy and robustness. Despite these advancements, practical applications still face notable challenges, primarily the inaccurate detection or missed detection of small objects. Moreover, the extensive parameter cou...
In the neural architecture search feature pyramid network (NAS-FPN)26, a neural architecture search algorithm is employed to customize a feature pyramid network that merges features across a range. NAS-FPN produced significant improvements in many object detection networks. Besides, An adaptive spatial...
OJI, R. An automatic algorithm for object recognition and detection based on ASIFT keypoints. Signal & Image Processing: An International Journal. Vol. 2, No., 5, Out, 2012.Oji R (2012) An automatic algorithm for object recognition and detection based on ASIFT keypoints. Signal and Image ...