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Existing rotated object detectors are mostly inherited from the horizontal detection paradigm, as the latter has evolved into a well-developed area.
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2019
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X. Yang, J. Yan, M. Qi, W. Wang, Z. Xiaopeng, and T. Qi, “Rethinking rotated object detection with gaussian wasserstein distance loss,” in
2021
Closest in time.
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2021
Closest in time.
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2021
Closest in time.
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2021
Closest in time.
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2021
Closest in time.
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2021
Closest in time.
2021
Closest in time.
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2021
Closest in time.
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2021
Closest in time.
X. Yang, L. Hou, Y. Zhou, W. Wang, and J. Yan, “Dense label encoding for boundary discontinuity free rotation detection,” in
2021
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2021
Closest in time.
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2021
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P. Zhao, Z. Qu, Y. Bu, W. Tan, and Q. Guan, “Polardet: A fast, more precise detector for rotated target in aerial images,”
2021
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Y. Zhou, X. Yang, G. Zhang, J. Wang, Y. Liu, L. Hou, X. Jiang, X. Liu, J. Yan, C. Lyu, W. Zhang, and K. Chen, “Mmrotate: A rotated object detection benchmark using pytorch,” 2022
2022
Closest in time.
X. Yang, J. Yan, W. Liao, X. Yang, J. Tang, and T. He, “Scrdet++: Detecting small, cluttered and rotated objects via instance-level feature denoising and rotation loss smoothing,”
2022
Closest in time.