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Hierarchical Disentanglement of Discriminative Latent Features for Zero-Shot Learning

CVPR 2019 · Label-efficient and robust learning › Zero-/few-shot and meta-learning · approach: Generative feature synthesis for zero-shot · 65 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add hierarchical disentanglement (ablation)DLFZRL · SUN, traditional ZSLaverage top-1 accuracy: 57.2 -> 59.3Helped
Add hierarchical disentanglement (ablation)DLFZRL · CUB, traditional ZSLaverage top-1 accuracy: 55.1 -> 57.8Helped
Add hierarchical disentanglement (ablation)DLFZRL · AWA1, traditional ZSLaverage top-1 accuracy: 57.9 -> 66.3Helped
Add hierarchical disentanglement (ablation)DLFZRL · AWA2, traditional ZSLaverage top-1 accuracy: 63.1 -> 63.7Helped
Add hierarchical disentanglement (ablation)DLFZRL · aPY, traditional ZSLaverage top-1 accuracy: 41.6 -> 44.5Helped
Add hierarchical disentanglement (ablation)DLFZRL · SUN, generalized ZSLharmonic mean: 23.2 -> 24.6Helped
Add hierarchical disentanglement (ablation)DLFZRL · CUB, generalized ZSLharmonic mean: 35.4 -> 37.1Helped
Add hierarchical disentanglement (ablation)DLFZRL · AWA1, generalized ZSLharmonic mean: 37.1 -> 40.5Helped
Add hierarchical disentanglement (ablation)DLFZRL · AWA2, generalized ZSLharmonic mean: 40.6 -> 45.1Helped
Add hierarchical disentanglement (ablation)DLFZRL · aPY, generalized ZSLharmonic mean: 30.7 -> 31.0Helped
Add feature selection (ablation)DLFZRL · AWA1, traditional ZSLaverage top-1 accuracy: 62.9 -> 66.3Helped
Add feature selection (ablation)DLFZRL · AWA1, generalized ZSLharmonic mean: 36.3 -> 40.5Helped

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