Many Categories × Few Examples
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The goal of this challenge is to create a large-scale platform for benchmarking few-shot, one-shot, and zero-shot learning algorithms. In contrast to existing challenges with many examples, we focus on increasing the number of categories with high-quality few examples.
Representing Concepts
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Our main interest lies in representations of concepts. It includes, but not limited to,
- Text Represetations
- Image Representations
- Video Representations
- Audio Representations
- Sensor-Data Representations
and the relation among them.
Few-Shot Verb Image Dataset
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Few-Shot Verb Image Classification is the first challenge.
We provide high-quality image urls that represent verb synsets in the WordNet.
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