Bridging the Gap Between Image Coding for Machines and Humans

Author:

Le Nam1,Zhang Honglei2,Cricri Francesco2,Youvalari Ramin G.2,Rezazadegan Tavakoli Hamed2,Aksu Emre2,Hannuksela Miska M.2,Rahtu Esa1

Affiliation:

1. Tampere University

2. Nokia Technologies

Publisher

IEEE

Reference25 articles.

1. High-Fidelity Generative Image Compression;mentzer,2020

2. DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better

3. Deep residual learning for image recognition;he;2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR),2016

4. Analysis Of Neural Image Compression Networks For Machine-To-Machine Communication

5. Making convolutional networks shiftinvariant again;zhang;International Conference on Machine Learning,2019

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. NN-VVC: A Hybrid Learned-Conventional Video Codec Targeting Humans and Machines;International Journal of Semantic Computing;2024-08-17

2. NN-VVC: Versatile Video Coding boosted by self-supervisedly learned image coding for machines;2023 IEEE International Symposium on Multimedia (ISM);2023-12-11

3. Region of Interest Enabled Learned Image Coding for Machines;2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP);2023-09-27

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