FG-RAT GAN, a RAT GAN enhanced with an auxiliary classifier and contrastive learning over cross-batch memory, reports lower FID than its backbone on two fine-grained datasets.
In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp
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Fine-grained Text to Image Synthesis
FG-RAT GAN, a RAT GAN enhanced with an auxiliary classifier and contrastive learning over cross-batch memory, reports lower FID than its backbone on two fine-grained datasets.