SOTAVerified

Human Interaction Recognition

Human Interaction Recognition (HIR) is a field of study that involves the development of computer algorithms to detect and recognize human interactions in videos, images, or other multimedia content. The goal of HIR is to automatically identify and analyze the social interactions between people, their body language, and facial expressions.

Papers

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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SkateFormerAccuracy (Cross-Setup)93.2Unverified
2CHASE(CTR-GCN)Accuracy (Cross-Setup)92.3Unverified
3ISTA-NetAccuracy (Cross-Setup)91.7Unverified
4SkeleTRAccuracy (Cross-Setup)88.3Unverified
5IGFormerAccuracy (Cross-Setup)86.5Unverified
6LSTM-IRNAccuracy (Cross-Setup)79.6Unverified
#ModelMetricClaimedVerifiedStatus
1SkateFormerAccuracy (Cross-Subject)97.1Unverified
2CHASE(CTR-GCN)Accuracy (Cross-Subject)96.5Unverified
3SkeleTRAccuracy (Cross-Subject)94.9Unverified
4IGFormerAccuracy (Cross-Subject)93.6Unverified
5LSTM-IRN'fc1inter+intraAccuracy (Cross-Subject)90.5Unverified
#ModelMetricClaimedVerifiedStatus
1H-LSTCMAccuracy98.33Unverified
2Co-LSTSMAccuracy95Unverified
3Raptis et al.Accuracy93.3Unverified
4Donahue et al.Accuracy85Unverified
#ModelMetricClaimedVerifiedStatus
1H-LSTCMAccuracy94.03Unverified
2Co-LSTSMAccuracy92.88Unverified
3Donahue et al.Accuracy80.13Unverified
#ModelMetricClaimedVerifiedStatus
1Slow-Fast(Finetune by Fivewin team)Top-1 accuracy %55.11Unverified
#ModelMetricClaimedVerifiedStatus
1LSTM-IRN'fc1inter+intraAccuracy98.2Unverified
#ModelMetricClaimedVerifiedStatus
1IGFormerAccuracy98.4Unverified
#ModelMetricClaimedVerifiedStatus
1LSTM-IRN'fc1inter+intraAccuracy (Set 1)98.3Unverified