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cs.CV2020★ 1 cited
Streaming Networks: Increase Noise Robustness and Filter Diversity via Hard-wired and Input-induced Sparsity
Sergey Tarasenko, Fumihiko Takahashi
The CNNs have achieved a state-of-the-art performance in many applications. Recent studies illustrate that CNN's recognition accuracy drops drastically if images are noise corrupte…
cs.CV2020★ 1 cited
Applications of the Streaming Networks
Sergey Tarasenko, Fumihiko Takahashi
Most recently Streaming Networks (STnets) have been introduced as a mechanism of robust noise-corrupted images classification. STnets is a family of convolutional neural networks,…
cs.CV2019★ 1 cited
Streaming Networks: Enable A Robust Classification of Noise-Corrupted Images
Sergey Tarasenko, Fumihiko Takahashi
The convolution neural nets (conv nets) have achieved a state-of-the-art performance in many applications of image and video processing. The most recent studies illustrate that the…