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Found 2 papers, 1 papers with code
Fine-Tuned but Zero-Shot 3D Shape Sketch View Similarity and Retrieval
We believe that our work will have a significant impact on research in the sketch domain, providing insights and guidance on how to adopt large pretrained models as perceptual losses.
Learning the Space of Deep Models
In particular, we show that it is possible to use representation learning to learn a fixed-size, low-dimensional embedding space of trained deep models and that such space can be explored by interpolation or optimization to attain ready-to-use models.
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