A Common Method for Detecting Multiple Steganographies in Low-Bit-Rate Compressed Speech Based on Bayesian Inference
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2939629
Abstract: Analysis-by-synthesis linear predictive coding (AbS-LPC) is widely used in a variety of low-bit-rate speech codecs. The existing steganalysis methods for AbS-LPC low-bit-rate compressed speech steganography are specifically designed for one certain category of steganography methods,… read more here.
Keywords: low bit; rate compressed; speech; bit rate ... See more keywords
LSFQ: A Low-Bit Full Integer Quantization for High-Performance FPGA-Based CNN Acceleration
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Micro"
DOI: 10.1109/mm.2021.3134968
Abstract: The effective implementation of quantization depends not only on the specific task but also on the hardware resources. This article presents a hardware-aware customized quantization method for convolutional neural networks. We propose a learnable parameter… read more here.
Keywords: quantization; low bit; integer quantization; lsfq low ... See more keywords
Low Bit-Width Convolutional Neural Network on RRAM
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2019.2917852
Abstract: The emerging resistive random-access memory (RRAM) has been widely applied in accelerating the computing of deep neural networks. However, it is challenging to achieve high-precision computations based on RRAM due to the limits of the… read more here.
Keywords: low bit; rram; width convolutional; bit width ... See more keywords
An Energy-and-Area-Efficient CNN Accelerator for Universal Powers-of-Two Quantization
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2022.3227608
Abstract: CNN model computation on edge devices is tightly restricted to the limited resource and power budgets, which motivates the low-bit quantization technology to compress CNN models into 4-bit or lower format to reduce the model… read more here.
Keywords: quantization; low bit; cnn; tex math ... See more keywords
Residual Quantization for Low Bit-Width Neural Networks
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2021.3124095
Abstract: Neural network quantization has shown to be an effective way for network compression and acceleration. However, existing binary or ternary quantization methods suffer from two major issues. First, low bit-width input/activation quantization easily results in… read more here.
Keywords: network; residual quantization; quantization; low bit ... See more keywords
Learning-based phase imaging using a low-bit-depth pattern
Sign Up to like & getrecommendations! Published in 2020 at "Photonics Research"
DOI: 10.1364/prj.398583
Abstract: Phase imaging always deals with the problem of phase invisibility when capturing objects with existing light sensors. However, there is a demand for multiplane full intensity measurements and iterative propagation process or reliance on reference… read more here.
Keywords: low bit; phase; bit depth; phase imaging ... See more keywords