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

No papers found.

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SkateFormerAccuracy (Cross-Setup)93.2—Unverified
2CHASE(CTR-GCN)Accuracy (Cross-Setup)92.3—Unverified
3ISTA-NetAccuracy (Cross-Setup)91.7—Unverified
4SkeleTRAccuracy (Cross-Setup)88.3—Unverified
5IGFormerAccuracy (Cross-Setup)86.5—Unverified
6LSTM-IRNAccuracy (Cross-Setup)79.6—Unverified
#ModelMetricClaimedVerifiedStatus
1SkateFormerAccuracy (Cross-Subject)97.1—Unverified
2CHASE(CTR-GCN)Accuracy (Cross-Subject)96.5—Unverified
3SkeleTRAccuracy (Cross-Subject)94.9—Unverified
4IGFormerAccuracy (Cross-Subject)93.6—Unverified
5LSTM-IRN'fc1inter+intraAccuracy (Cross-Subject)90.5—Unverified
#ModelMetricClaimedVerifiedStatus
1H-LSTCMAccuracy98.33—Unverified
2Co-LSTSMAccuracy95—Unverified
3Raptis et al.Accuracy93.3—Unverified
4Donahue et al.Accuracy85—Unverified
#ModelMetricClaimedVerifiedStatus
1H-LSTCMAccuracy94.03—Unverified
2Co-LSTSMAccuracy92.88—Unverified
3Donahue et al.Accuracy80.13—Unverified
#ModelMetricClaimedVerifiedStatus
1Slow-Fast(Finetune by Fivewin team)Top-1 accuracy %55.11—Unverified
#ModelMetricClaimedVerifiedStatus
1LSTM-IRN'fc1inter+intraAccuracy98.2—Unverified
#ModelMetricClaimedVerifiedStatus
1IGFormerAccuracy98.4—Unverified
#ModelMetricClaimedVerifiedStatus
1LSTM-IRN'fc1inter+intraAccuracy (Set 1)98.3—Unverified