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Binary Video Classification on PHTV (test)

94.29AccuracyQwen3-VL-8B-Instruct (LoRA)
44.962857.768970.57583.3811May 22, 2026

Evaluation results

MethodLinks
Qwen3-VL-8B-Instruct (LoRA)Learning Paradigm=Final Deployed Model, Fine-tuning Method=LoRA, Base Model=Qwen3-VL-8B-Instruct2026.0594.2996.419294.153.43
Early Fusion (Text+Video)Modality=Text+Video, Learning Paradigm=Multimodal Fusion Models2026.0592.5794.0890.8692.445.71
Qwen-VL-MAX (128-shot)Learning Paradigm=In-Context Learning Experiments, Few-shot examples=128-shot2026.0579.6682.17678.9316.67
BERT (Text-only)Modality=Text-only, Learning Paradigm=Multimodal Fusion Models2026.0578.5776.8881.7179.2224.57
Late Fusion (Text+Video)Modality=Text+Video, Learning Paradigm=Multimodal Fusion Models2026.0577.4386.9264.5774.19.71
VideoMAE (Video-only)Modality=Video-only, Learning Paradigm=Multimodal Fusion Models2026.0572.2971.9173.1472.5228.57
Qwen2.5-VL-7B-InstructLearning Paradigm=In-Context Learning Experiments2026.0568.8681.7348.5760.9310.86
Qwen-VL-MAX + CoT-CNLearning Paradigm=In-Context Learning Experiments, Chain-of-Thought (CoT) Prompting=CN2026.0563.8794.1230.5746.151.96
Claude-Opus-4-1 + CoT-ENLearning Paradigm=In-Context Learning Experiments, Chain-of-Thought (CoT) Prompting=EN2026.0563.8789.8330.8145.893.45
Qwen-VL-MAX + CoT-ENLearning Paradigm=In-Context Learning Experiments, Chain-of-Thought (CoT) Prompting=EN2026.0558.693.5517.16291.15
Qwen3-VL-Plus + CoT-CNLearning Paradigm=In-Context Learning Experiments, Chain-of-Thought (CoT) Prompting=CN2026.055896.6716.5728.290.57
Gemma3-4BLearning Paradigm=In-Context Learning Experiments2026.0557.1459.5444.5750.9830.29
GPT-4-Turbo + CoT-ENLearning Paradigm=In-Context Learning Experiments, Chain-of-Thought (CoT) Prompting=EN2026.0554.2966.6717.1427.278.57
Gemma3-12BLearning Paradigm=In-Context Learning Experiments2026.0553.4387.5814.661.14
Qwen2.5-VL-3B-InstructLearning Paradigm=In-Context Learning Experiments2026.0546.8641.791623.1422.29