Deep Tiny Quantization for Fish-Eye Distorted Object Classification
Author:
Affiliation:
1. STMicroelectronics System Research and Applications,Agrate,Brianza
2. Dimbiniaina Marc STMicroelectronics Università degli studi di,Trento
3. Tecniplast S.p.A,Milan,Italy
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10180901/10180410/10180414.pdf?arnumber=10180414
Reference15 articles.
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2. Binary Neural Networks as a general-propose compute paradigm for on-device computer vision;nie;ArXiv abs/2202 03716,2022
3. Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors
4. arXiv: Ultra Low-latency, Low-area Inference Accelerators using Heterogeneous Deep Quantization with QKeras and hls4ml;coelho;arXiv 2006 10159,2020
5. A comprehensive review of Binary Neural Network;yuan;ArXiv abs/2110 06804,2021
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