This media is not supported in your browser
VIEW IN TELEGRAM
✨LongTail Driving Scenarios with Reasoning Traces: The KITScenes LongTail Dataset
📝 Summary:
This paper introduces KITScenes LongTail, a new dataset for long-tail driving events. It offers multi-view video, trajectories, and multilingual expert reasoning traces. This resource improves few-shot generalization and evaluates multimodal models instruction following capabilities.
🔹 Publication Date: Published on Mar 24
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.23607
• PDF: https://arxiv.org/pdf/2603.23607
• Project Page: https://huggingface.co/datasets/KIT-MRT/KITScenes-LongTail
✨ Datasets citing this paper:
• https://huggingface.co/datasets/KIT-MRT/KITScenes-LongTail
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#AutonomousDriving #ComputerVision #Datasets #LongTailLearning #MultimodalAI
📝 Summary:
This paper introduces KITScenes LongTail, a new dataset for long-tail driving events. It offers multi-view video, trajectories, and multilingual expert reasoning traces. This resource improves few-shot generalization and evaluates multimodal models instruction following capabilities.
🔹 Publication Date: Published on Mar 24
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.23607
• PDF: https://arxiv.org/pdf/2603.23607
• Project Page: https://huggingface.co/datasets/KIT-MRT/KITScenes-LongTail
✨ Datasets citing this paper:
• https://huggingface.co/datasets/KIT-MRT/KITScenes-LongTail
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#AutonomousDriving #ComputerVision #Datasets #LongTailLearning #MultimodalAI
This media is not supported in your browser
VIEW IN TELEGRAM
✨LongTail Driving Scenarios with Reasoning Traces: The KITScenes LongTail Dataset
📝 Summary:
This paper introduces KITScenes LongTail, a new dataset for long-tail driving events. It offers multi-view video, trajectories, and multilingual expert reasoning traces. This resource improves few-shot generalization and evaluates multimodal models instruction following capabilities.
🔹 Publication Date: Published on Mar 24
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.23607
• PDF: https://arxiv.org/pdf/2603.23607
• Project Page: https://huggingface.co/datasets/KIT-MRT/KITScenes-LongTail
✨ Datasets citing this paper:
• https://huggingface.co/datasets/KIT-MRT/KITScenes-LongTail
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#AutonomousDriving #ComputerVision #Datasets #LongTailLearning #MultimodalAI
📝 Summary:
This paper introduces KITScenes LongTail, a new dataset for long-tail driving events. It offers multi-view video, trajectories, and multilingual expert reasoning traces. This resource improves few-shot generalization and evaluates multimodal models instruction following capabilities.
🔹 Publication Date: Published on Mar 24
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.23607
• PDF: https://arxiv.org/pdf/2603.23607
• Project Page: https://huggingface.co/datasets/KIT-MRT/KITScenes-LongTail
✨ Datasets citing this paper:
• https://huggingface.co/datasets/KIT-MRT/KITScenes-LongTail
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#AutonomousDriving #ComputerVision #Datasets #LongTailLearning #MultimodalAI