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Detect ships using saliency in infrared images with sea-sky background.

, , и . ICDIP, том 9631 из SPIE Proceedings, стр. 96310A. SPIE, (2015)

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Xue Xue Zhang

Wenfang Zhang

Cheng Xue

Jia Xue

Min Xue

 

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Detect ships using saliency in infrared images with sea-sky background., , и . ICDIP, том 9631 из SPIE Proceedings, стр. 96310A. SPIE, (2015)MOT: A Mixture of Actors Reinforcement Learning Method by Optimal Transport for Algorithmic Trading., , , и . PKDD (4), том 14648 из Lecture Notes in Computer Science, стр. 30-42. Springer, (2024)Contrastive Pre-training for Imbalanced Corporate Credit Ratings., и . ICMLC, стр. 293-297. ACM, (2022)Stabilization of atmospheric turbulence-distorted video containing moving objects using the monogenic signal., , , и . Signal Process. Image Commun., (2018)Every Corporation Owns Its Structure: Corporate Credit Rating via Graph Neural Networks., , , и . PRCV (1), том 13534 из Lecture Notes in Computer Science, стр. 688-699. Springer, (2022)Every Corporation Owns Its Image: Corporate Credit Ratings via Convolutional Neural Networks., , , и . CoRR, (2020)Fusing Multi-Granularity Data for Stock Trend Prediction with Contrastive Pre-training., , , , и . ICMLC, стр. 597-601. ACM, (2023)Improved Parameters Estimating Scheme for E-HMM with Application to Face Recognition., , и . ICB, том 3832 из Lecture Notes in Computer Science, стр. 199-205. Springer, (2006)Every Corporation Owns Its Structure: Corporate Credit Ratings via Graph Neural Networks., , , и . CoRR, (2020)