Structured adversarial self-supervised learning for robust object detection in remote sensing images

Toward Reliable License Plate Detection in Varied Contexts: Overcoming the Issue of Undersized Plate Annotations

Z Peng, Y Gao, S Mu, S Xu - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
License plate detection and recognition (LPDR) is of paramount importance in the Intelligent
Transportation Systems. Most existing license plate (LP) detectors rely on anchors …
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GFENet: Generalization Feature Extraction Network for Few-Shot Object Detection

X Ke, Q Chen, H Liu, W Guo - IEEE Transactions on Circuits …, 2024 - ieeexplore.ieee.org
Few-shot object detection achieves rapid detection of novel-class objects by training
detectors with a minimal number of novel-class annotated instances. Transfer learning …
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TIR-Net: Task Integration Based on Rotated Convolution Kernel for Oriented Object Detection in Aerial Images

H Li, R Pan, G Liu, M Dang, Q Xu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The application of oriented object detection in the field of aerial images has gained
substantial attention and made significant progress. However, most one-stage object …
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Integrally Mixing Pyramid Representations for Anchor-Free Object Detection in Aerial Imagery

C Zhang, J Xiao, C Yang, J Zhou… - IEEE Geoscience and …, 2024 - ieeexplore.ieee.org
Anchor-free object detectors have recently received increasing research attention in the field
of aerial scene object detection, due to their high flexibility and practicality. Anchor-free …
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