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Found 6 papers, 0 papers with code
Leveraging Unlabeled Data for Sketch-based Understanding
Sketch-based understanding is a critical component of human cognitive learning and is a primitive communication means between humans.
Sketch-QNet: A Quadruplet ConvNet for Color Sketch-based Image Retrieval
Architectures based on siamese networks with triplet loss have shown outstanding performance on the image-based similarity search problem.
Compact and Effective Representations for Sketch-based Image Retrieval
We show that UMAP allows us to have feature vectors of 16 bytes improving precision by more than 35%.
Scalable Visual Attribute Extraction through Hidden Layers of a Residual ConvNet
Visual attributes play an essential role in real applications based on image retrieval.
A Comprehensive Comparison of End-to-End Approaches for Handwritten Digit String Recognition
Over the last decades, most approaches proposed for handwritten digit string recognition (HDSR) have resorted to digit segmentation, which is dominated by heuristics, thereby imposing substantial constraints on the final performance.
Pattern Spotting in Historical Documents Using Convolutional Models
Pattern spotting consists of searching in a collection of historical document images for occurrences of a graphical object using an image query.
