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cs.CV2022
Learnable Distribution Calibration for Few-Shot Class-Incremental Learning
Binghao Liu, Boyu Yang, Lingxi Xie +3
Few-shot class-incremental learning (FSCIL) faces challenges of memorizing old class distributions and estimating new class distributions given few training samples. In this study,…
cs.CV2021★ 2 cited
Escaping the Gradient Vanishing: Periodic Alternatives of Softmax in Attention Mechanism
Shulun Wang, Bin Liu, Feng Liu
Softmax is widely used in neural networks for multiclass classification, gate structure and attention mechanisms. The statistical assumption that the input is normal distributed su…