5 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.CV2020
AmphibianDetector: adaptive computation for moving objects detection
David Svitov, Sergey Alyamkin
Convolutional neural networks (CNN) allow achieving the highest accuracy for the task of object detection in images. Major challenges in further development of object detectors are…
cs.CV2020★ 5 cited
MarginDistillation: distillation for margin-based softmax
David Svitov, Sergey Alyamkin
The usage of convolutional neural networks (CNNs) in conjunction with a margin-based softmax approach demonstrates a state-of-the-art performance for the face recognition problem.…
cs.LG2018
Fast Adjustable Threshold For Uniform Neural Network Quantization (Winning solution of LPIRC-II)
Alexander Goncharenko, Andrey Denisov, Sergey Alyamkin +1
Neural network quantization procedure is the necessary step for porting of neural networks to mobile devices. Quantization allows accelerating the inference, reducing memory consum…