cuiziteng / Illumination-Adaptive-Transformer

[BMVC 2022] You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction. SOTA for low light enhancement, 0.004 seconds try this for pre-processing.
Apache License 2.0
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关于目标检测 #65

Closed aowuaaa closed 7 months ago

aowuaaa commented 7 months ago

您好!看完了论文,对这篇工作很感兴趣。因为我是刚开始学习低光增强的,所以对有些东西不太了解。表4 目标检测的map,是在别的增强数据集上训练,然后在exdark数据集上增强,再进行检测吗?

cuiziteng commented 7 months ago

表4的结果是这样的,但是可以看看supp里的Fig5和表6,联合一起训练的效果会更好,这个仓库的代码也是做的联合训练的实验结果

aowuaaa commented 7 months ago

好的,明白了,谢谢,还有一个问题,增强部分是在哪个数据集上训练的呢

cuiziteng commented 7 months ago

LOL或者MIT5K数据集都行,但是原理上来说肯定是数据量越大越好,LOL有点小所以泛化性差一点

aowuaaa commented 7 months ago

谢谢谢谢,谢谢解答