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Memory-Attended Recurrent Network for Video Captioning

CVPR 2019 · Video › Video-language understanding · approach: Encoder-decoder video captioning · 249 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add the attended memory decoder to the basis decoder (ablation)Video captioning system · MSR-VTTCIDEr: 45.7 -> 46.8; 1.1%Helped
Add the attended memory decoder to the basis decoder (ablation)Video captioning system · MSVDCIDEr: 89.9 -> 91.7; 1.8%Helped
Add Attention-Coherent Loss (ablation)Basis decoder + memory · MSR-VTTCIDEr: 46.8 -> 47.1Helped
Add Attention-Coherent Loss (ablation)Basis decoder + memory · MSVDCIDEr: 91.7 -> 92.2Helped
Add word embedding to the memory (ablation)Basis decoder · MSR-VTTCIDEr: 45.7 -> 46.1Helped
Add word embedding to the memory (ablation)Basis decoder · MSVDCIDEr: 89.9 -> 90.7Helped
Add visual context to the word-embedding memory (ablation)Basis decoder · MSR-VTTCIDEr: 46.1 -> 46.6Helped
Add visual context to the word-embedding memory (ablation)Basis decoder · MSVDCIDEr: 90.7 -> 91.7Helped
Add category auxiliary features to the memory (ablation)Basis decoder + word embedding + visual context · MSR-VTTCIDEr: 46.6 -> 46.8Helped
Add the MARN memory decoderVideo captioning model · MSR-VTTMETEOR: 27.7 -> 28.1Helped
Add the MARN memory decoderVideo captioning model · MSR-VTTBLEU-4: 40.1 -> 40.4Hurt
Add the MARN memory decoderVideo captioning model · MSVDBLEU-4: 47.5 -> 48.6Hurt

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