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Exploring Optimal Adaptive Activation Functions for Various Tasks.

, , , , , and . BIBM, page 2290-2297. IEEE, (2020)

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Adaptively Customizing Activation Functions for Various Layers., , , , , , and . IEEE Trans. Neural Networks Learn. Syst., 34 (9): 6096-6107 (September 2023)TDRConv: Exploring the Trade-off Between Feature Diversity and Redundancy for a Compact CNN Module., , , , , and . ICIC (4), volume 14089 of Lecture Notes in Computer Science, page 333-344. Springer, (2023)MC-Unet: Multi-scale Convolution Unet for Bladder Cancer Cell Segmentation in Phase-Contrast Microscopy Images., , , , , and . BIBM, page 1197-1199. IEEE, (2019)Exploring Optimal Adaptive Activation Functions for Various Tasks., , , , , and . BIBM, page 2290-2297. IEEE, (2020)Deep k-Space Partition-Based Convolutional Networks for Fast Multimodal MRI Reconstruction., , , , and . BIBM, page 1280-1285. IEEE, (2023)基于深层卷积残差网络集成的黑色素瘤分类方法 (Melanoma Classification Method by Integrating Deep Convolutional Residual Network)., , , , and . 计算机科学, 46 (5): 247-253 (2019)Model-based compromise control of greenhouse climate using pareto optimization., , and . GEC Summit, page 217-222. ACM, (2009)Residual-Recursion Autoencoder for Shape Illustration Images., , , , , and . CoRR, (2020)Generative Adversarial Networks in Medical Image augmentation: A review., , , , , , , , , and . Comput. Biol. Medicine, (2022)Cancer Cells Detection in Phase-Contrast Microscopy Images Based on Faster R-CNN., , , , and . ISCID (1), page 363-367. IEEE, (2016)