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pro vyhledávání: '"Ribeiro, Leo Sampaio Ferraz"'
Sketch-an-Anchor is a novel method to train state-of-the-art Zero-shot Sketch-based Image Retrieval (ZSSBIR) models in under an epoch. Most studies break down the problem of ZSSBIR into two parts: domain alignment between images and sketches, inherit
Externí odkaz:
http://arxiv.org/abs/2303.16769
Autor:
Ponti, Moacir Antonelli, Santos, Fernando Pereira dos, Ribeiro, Leo Sampaio Ferraz, Cavallari, Gabriel Biscaro
Training deep neural networks may be challenging in real world data. Using models as black-boxes, even with transfer learning, can result in poor generalization or inconclusive results when it comes to small datasets or specific applications. This tu
Externí odkaz:
http://arxiv.org/abs/2109.02752
Scene Designer is a novel method for searching and generating images using free-hand sketches of scene compositions; i.e. drawings that describe both the appearance and relative positions of objects. Our core contribution is a single unified model to
Externí odkaz:
http://arxiv.org/abs/2108.07353
Sketchformer is a novel transformer-based representation for encoding free-hand sketches input in a vector form, i.e. as a sequence of strokes. Sketchformer effectively addresses multiple tasks: sketch classification, sketch based image retrieval (SB
Externí odkaz:
http://arxiv.org/abs/2002.10381