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Sketching out the details: Sketch-based image retrieval using convolutional neural networks with multi-stage regression

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Academic year: 2021

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Figure

Fig. 1. Our training procedure illustrated with a SketchANet-AlexNet architecture: pre-training the unshared layers (stage 1), and the shared layers (stage 2) separately before plugging those into a triplet network (stage 3 and 4).
Fig. 2. 4-stage training of the SketchANet-AlexNet model and visualization of the first convolution layer on sketch and image branch.
Fig. 3. Example sketches and images of the training (a-b) and test (c-e) datasets.
Fig. 4 (top) shows that the performance is benefited by in-
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