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Graph-Based Generative Adversarial Networks for Molecular Generation with Noise Diffusion.

, , , , и . ICBBB, стр. 1-6. ACM, (2024)

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Qian-Qian Jiang

Xiaoliang Sun

Qian-Qian Jiang

Huihong Qian

Yanyun Qian

 

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Multiple Instance Complementary Detection and Difficulty Evaluation for Weakly Supervised Object Detection in Remote Sensing Images., , , и . IEEE Geosci. Remote. Sens. Lett., (2023)Attention Erasing and Instance Sampling for Weakly Supervised Object Detection., , , , , и . IEEE Trans. Geosci. Remote. Sens., (2024)Performance Comparison of Two Pooling Strategies for Remote Sensing Image Scene Classification., , , , , и . IGARSS, стр. 3037-3040. IEEE, (2019)Gradient adaptive sampling and multiple temporal scale 3D CNNs for tactile object recognition., , , и . Frontiers Neurorobotics, (июня 2023)Graph-Based Generative Adversarial Networks for Molecular Generation with Noise Diffusion., , , , и . ICBBB, стр. 1-6. ACM, (2024)Micro-cracks detection of solar cells surface via combining short-term and long-term deep features., , , , и . Neural Networks, (2020)Incorporating the Completeness and Difficulty of Proposals Into Weakly Supervised Object Detection in Remote Sensing Images., , , , , , и . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2022)Object Detection in Remote Sensing Images Based on Improved Bounding Box Regression and Multi-Level Features Fusion., , , , , и . Remote. Sens., 12 (1): 143 (2020)Smooth GIoU Loss for Oriented Object Detection in Remote Sensing Images., , и . Remote. Sens., 15 (5): 1259 (марта 2023)Optimal contrast based saliency detection., , , и . Pattern Recognit. Lett., 34 (11): 1270-1278 (2013)