Enhanced Self-Attention-Based Rapid CNN for Detecting Dense Objects in Varying Illumination - researchr publication related

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Lu Chen, Li Yang, Jie Tang 0001, Haoyuan Ma, Liu Yu, Shenbing Wu, Junkang Wang, Hao Wu, Gun Li. Enhanced Self-Attention-Based Rapid CNN for Detecting Dense Objects in Varying Illumination. Cognitive Computation, 17(1):26, February 2025. [doi]

The following publications are possibly variants of this publication:

Dense CNN With Self-Attention for Time-Domain Speech EnhancementAshutosh Pandey 0004, DeLiang Wang. taslp, 29:1270-1279, 2021. [doi]

Clustering Appearances of Objects Under Varying Illumination ConditionsJeffrey Ho, Ming-Hsuan Yang, Jongwoo Lim, Kuang-Chih Lee, David J. Kriegman. cvpr 2003: 11-18 [doi]

EFM: Enhancing the performance of signature-based network intrusion detection systems using enhanced filter mechanismWeizhi Meng, Wenjuan Li, Lam-for Kwok. compsec, 43:189-204, 2014. [doi]

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