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Found 4 papers, 3 papers with code
GraftNet: An Engineering Implementation of CNN for Fine-grained Multi-label Task
Multi-label networks with branches are proved to perform well in both accuracy and speed, but lacks flexibility in providing dynamic extension onto new labels due to the low efficiency of re-work on annotating and training.
PiiGAN: Generative Adversarial Networks for Pluralistic Image Inpainting
The latest methods based on deep learning have achieved amazing results regarding the complex work of inpainting large missing areas in an image.
Real Differences between OT and CRDT in Building Co-Editing Systems and Real World Applications
In this article, we examine the role of building working co-editors in shaping OT and CRDT research and solutions, and consequential differences in the choice between OT and CRDT in real world co-editors and industry products.
Distributed, Parallel, and Cluster Computing Human-Computer Interaction Software Engineering
Real Differences between OT and CRDT for Co-Editors
What are the real differences between OT and CRDT for co-editors?
Distributed, Parallel, and Cluster Computing Human-Computer Interaction Software Engineering
