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Found 4 papers, 0 papers with code
Label Delay in Continual Learning
We introduce a new continual learning framework with explicit modeling of the label delay between data and label streams over time steps.
Diversified Dynamic Routing for Vision Tasks
Deep learning models for vision tasks are trained on large datasets under the assumption that there exists a universal representation that can be used to make predictions for all samples.
Multilevel Knowledge Transfer for Cross-Domain Object Detection
The key ingredients to our approach are -- (a) mapping the source to the target domain on pixel-level; (b) training a teacher network on the mapped source and the unannotated target domain using adversarial feature alignment; and (c) finally training a student network using the pseudo-labels obtained from the teacher.
Domain Partitioning Network
Standard adversarial training involves two agents, namely a generator and a discriminator, playing a mini-max game.
