1 citations · 2 across the 2 of their papers we have counts for
3 papers
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
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…