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Zero-Shot Action Recognition
Zero Shot Action Recognition On Activitynet
Zero Shot Action Recognition On Activitynet
Metrics
Top-1 Accuracy
Results
Performance results of various models on this benchmark
Columns
Model Name
Top-1 Accuracy
Paper Title
BIKE
86.2
Bidirectional Cross-Modal Knowledge Exploration for Video Recognition with Pre-trained Vision-Language Models
Text4Vis
84.6
Revisiting Classifier: Transferring Vision-Language Models for Video Recognition
LoCATe-GAT
73.8
LoCATe-GAT: Modeling Multi-Scale Local Context and Action Relationships for Zero-Shot Action Recognition
ResT
32.5
Cross-modal Representation Learning for Zero-shot Action Recognition
E2E
26.6
Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications
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Zero Shot Action Recognition On Activitynet | SOTA | HyperAI