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update readme
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kktsubota committed Feb 28, 2023
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1 change: 1 addition & 0 deletions Access23/balle/README.md
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## Comparison in Uniform Quantization
**Training**

*Quantization except STH-Q* (the below shows an example of (U-Q, DS-Q))
```bash
# Ballé17
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1 change: 1 addition & 0 deletions Access23/cheng/README.md
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## Comparison in Uniform Quantization
**Training**

*AUN-Q, U-Q, (AUN-Q, STE-Q), (AUN-Q, U-Q), (AUN-Q, DS-Q), (U-Q, STE-Q), (U-Q, DS-Q)*
```bash
# (TRAIN.QUANTIZE_ENT, TRAIN.QUANTIZE_DEC) should be set to
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1 change: 0 additions & 1 deletion ICIP21/README.md
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Expand Up @@ -40,4 +40,3 @@ Please select from `{AUN-Q, STE-Q, U-Q, SGA-Q}` for each option.

## Note
Our code is based on the example codes in [Tensorflow Compression](https://github.com/tensorflow/compression/tree/v1.3/examples) licensed under Apache-2.0 (Copyright 2018 Google LLC).

2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -4,7 +4,7 @@ This repository provides the source code of our two papers:
- "Comprehensive Comparisons of Uniform Quantization in Deep Image Compression" in IEEE Access 2023.

## Dataset Preparation
Prepare ImageNet and the Kodak dataset.
Prepare the ImageNet, Kodak, and CLIC datasets.

We removed images whose shorter edge is smaller than 256 pixels for ImageNet.

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