SASA-CLIP: Structure-Aware Alignment with a Gaussian Prior for Fine-Grained Video Action Recognition
Results show that combining multi-granular representations with a temporal structural prior benefits fine-grained recognition, suggesting that SASA-CLIP is a practical option for real-world visual sensing applications such as intelligent surveillance and wearable activity monitoring.