Results 271 to 280 of about 296,550 (316)
The evolution of object detection from CNNs to transformers and multi-modal fusion. [PDF]
Sci RepWang Z +5 more
europepmc +1 more source
SpecBEV: An End-to-End BEV 3D Object Detection Algorithm Based on Frequency-Domain Analysis and Geometric Alignment. [PDF]
Sensors (Basel)Lin Y, Jia S.
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Seafood Object Detection Method Based on Improved YOLOv5s. [PDF]
Sensors (Basel)Zhu N, Liu Z, Wang Z, Xie Z.
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Machine Learning-Based Foreign Object Detection in Wireless EV Charging Using Planar Magnetic Induction Tomography. [PDF]
Sensors (Basel)Abdul Vahid AK +4 more
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Knowledge Distillation in Object Detection: A Survey from CNN to Transformer. [PDF]
Sensors (Basel)Shehzadi T +5 more
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Concealed Object Detection [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 17 pages, 27 figures, Code: https://github.com/GewelsJI/SINet ...
Deng-Ping Fan +2 more
exaly +4 more sources
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2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012
In recent years, the rise of digital image and video data available has led to an increasing demand for image annotation. In this paper, we propose an interactive object annotation method that incrementally trains an object detector while the user provides annotations.
Yao, A. +3 more
openaire +2 more sources
In recent years, the rise of digital image and video data available has led to an increasing demand for image annotation. In this paper, we propose an interactive object annotation method that incrementally trains an object detector while the user provides annotations.
Yao, A. +3 more
openaire +2 more sources
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
We present a comprehensive study on a new task named camouflaged object detection (COD), which aims to identify objects that are “seamlessly” embedded in their surroundings. The high intrinsic similarities between the target object and the background make COD far more challenging than the traditional object detection task.
Deng-Ping Fan +5 more
openaire +1 more source
We present a comprehensive study on a new task named camouflaged object detection (COD), which aims to identify objects that are “seamlessly” embedded in their surroundings. The high intrinsic similarities between the target object and the background make COD far more challenging than the traditional object detection task.
Deng-Ping Fan +5 more
openaire +1 more source