3260 papers • 126 benchmarks • 313 datasets
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These leaderboards are used to track progress in visual-analogies-5
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Use these libraries to find visual-analogies-5 models and implementations
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Tile2Vec is introduced, an unsupervised representation learning algorithm that extends the distributional hypothesis from natural language — words appearing in similar contexts tend to have similar meanings — to spatially distributed data to improve performance in downstream classification tasks.
A novel task, Visual Analogies of Situation Recognition, adapting the classical word-analogy task into the visual domain is introduced, and a gold-standard dataset of 3,820 validated analogies is created to encourage the development of new analogy-making models.
Adding a benchmark result helps the community track progress.