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Research map / Detection and segmentation / Open-set and few-shot detection

Progressively Parsing Interactional Objects for Fine Grained Action Detection

CVPR 2016 · Detection and segmentation › Open-set and few-shot detection · approach: Human-object interaction detection · 71 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use progressive LSTM object parsing instead of IAT trackingInteractional object parsing · KSCGRErr.: 12.3 -> 13.9Mixed
Use progressive LSTM object parsing instead of IAT trackingInteractional object parsing · KSCGRPrec.: 0.69 -> 0.66Mixed
Use object-centric motion feature poolingFine-grained action detection · KSCGRMean F-score: 0.76 -> 0.79Helped
Use the proposed parsing and action-detection framework instead of IAT-ActionFine-grained action detection · KSCGRMean F-score: 0.79 -> 0.84Helped
Use the proposed parsing and action-detection framework instead of IAT-ActionFine-grained action detection · MPIIAP: 54.3 -> 58.9Helped
Use the proposed parsing and action-detection framework instead of IAT-ActionFine-grained action detection · MPIIPrec.: 28.6 -> 34.8Helped
Use the proposed parsing and action-detection framework instead of IAT-ActionFine-grained action detection · MPIIRecall: 48.2 -> 51.7Helped
Progressively refine detections over more LSTM iterations (ablation)Interactional object parsing · KSCGRAverage parsing errorHelped
Use LSTM across consecutive frames rather than on individual frames (ablation)Interactional object parsing · KSCGRParsing performanceHelped
Use R-CNN or fast R-CNN instead of progressive parsingInteractional object parsing · KSCGRParsing performanceHurt

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