PerceptionComp: A Video Benchmark for Complex Perception-Centric Reasoning

1. 1Design a video benchmark with manually annotated data
2. 2Develop models that can handle long-horizon, perception-centric video reasoning
3. 3Evaluate models using PerceptionComp to assess their ability to integrate multiple pieces of visual evidence and compositional constraints

AI engineers and researchers working on computer vision and multimodal reasoning tasks can benefit from PerceptionComp to evaluate and improve their models' performance on complex perception-centric reasoning

💡 PerceptionComp requires models to integrate multiple pieces of visual evidence and compositional constraints to answer questions

📹 Introducing PerceptionComp: a benchmark for complex video reasoning! 🤖