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Found 6 papers, 2 papers with code
End-to-end multi-modal product matching in fashion e-commerce
Product matching, the task of identifying different representations of the same product for better discoverability, curation, and pricing, is a key capability for online marketplace and e-commerce companies.
Self-Supervised and Semi-Supervised Polyp Segmentation using Synthetic Data
To address both challenges, we leverage synthetic data and propose an end-to-end model for polyp segmentation that integrates real and synthetic data to artificially increase the size of the datasets and aid the training when unlabeled samples are available.
Joint one-sided synthetic unpaired image translation and segmentation for colorectal cancer prevention
We take advantage of recent one-sided translation models because they use significantly less memory, allowing us to add a segmentation model in the training loop.
Fashion CUT: Unsupervised domain adaptation for visual pattern classification in clothes using synthetic data and pseudo-labels
We introduce a new unsupervised domain adaptation technique that converts images from the synthetic domain into the real-world domain.
Synthetic data for unsupervised polyp segmentation
Deep learning has shown excellent performance in analysing medical images.
Domain Randomization for Object Counting
We introduce a domain randomization approach for object counting based on synthetic datasets that are quick and inexpensive to generate.
