Neural compression is the application of neural networks and other machine learning
methods to data compression. Recent advances in statistical machine learning have opened …

In deep image compression, uniform quantization is applied to latent representations
obtained by using an auto-encoder architecture for reducing bits and entropy coding …

End-to-end learned image compression codecs have notably emerged in recent years.
These codecs have demonstrated superiority over conventional methods, showcasing …

Progressive coding is essential to the practical deployment of learned image compression
over heterogeneous networks and clients. Existing methods for learned progressive image …

Learned image compression (LIC) has shown its superior compression ability. Quantization
is an inevitable stage to generate quantized latent for the entropy coding. To solve the non …

This paper presents an experimental assessment of different image compression techniques
used to reduce the amount of visual data exchanged between underwater robots, in a …

Malware refers to a malicious software that exploits target system vulnerabilities for data
theft, extortion or sabotage the network systems of the device. In this paper, the raw malware …

抄録 **年, 深層学習を用いた画像圧縮と画像通信に関する研究開発が盛んになっている.
画像圧縮は, 国際標準方式の一部を深層学習で置き換える方式 (部分適用方式) と …