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Tagging Like Humans: Diverse and Distinct Image Annotation

CVPR 2018 · Image generation › GANs · approach: GAN-based image manipulation · 56 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Train DPP tag sampling with GAN and noise perturbations instead of DIA's fixed-distribution trainingD2IA-GAN · ESP Game, single subset, 3 tagsF1-sp: 33.61 -> 34.93Helped
Train DPP tag sampling with GAN and noise perturbations instead of DIA's fixed-distribution trainingD2IA-GAN · ESP Game, single subset, 5 tagsF1-sp: 35.78 -> 36.06Helped
Generate multiple tag subsets from noise-perturbed DPP distributions rather than one fixed DPP distributionD2IA-GAN · ESP Game, ensemble subset, 3 tagsF1-sp: 32.39 -> 36.71Helped
Generate multiple tag subsets from noise-perturbed DPP distributions rather than one fixed DPP distributionD2IA-GAN · ESP Game, ensemble subset, 5 tagsF1-sp: 34.31 -> 35.82Helped
Train DPP tag sampling with GAN and noise perturbations instead of DIA's fixed-distribution trainingD2IA-GAN · IAPRTC-12, single subset, 3 tagsF1-sp: 29.87 -> 31.04Helped
Train DPP tag sampling with GAN and noise perturbations instead of DIA's fixed-distribution trainingD2IA-GAN · IAPRTC-12, single subset, 5 tagsF1-sp: 34.11 -> 34.41Helped
Generate multiple tag subsets from noise-perturbed DPP distributions rather than one fixed DPP distributionD2IA-GAN · IAPRTC-12, ensemble subset, 3 tagsF1-sp: 32.39 -> 34.44Helped
Generate multiple tag subsets from noise-perturbed DPP distributions rather than one fixed DPP distributionD2IA-GAN · IAPRTC-12, ensemble subset, 5 tagsF1-sp: 34.31 -> 35.34Helped
Use D2IA-GAN instead of DIA to produce tag sets for human comparisonD2IA-GAN · ESP Game, human evaluation, 3 tagshuman preference wins: 135 -> 240Helped

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