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Found 5 papers, 5 papers with code
Test-time Training for Data-efficient UCDR
Image retrieval under generalized test scenarios has gained significant momentum in literature, and the recently proposed protocol of Universal Cross-domain Retrieval is a pioneer in this direction.
Universal Cross-Domain Retrieval: Generalizing Across Classes and Domains
Towards that goal, we propose SnMpNet (Semantic Neighbourhood and Mixture Prediction Network), which incorporates two novel losses to account for the unseen classes and domains encountered during testing.
Knowledge Distillation for Singing Voice Detection
Singing Voice Detection (SVD) has been an active area of research in music information retrieval (MIR).
Addressing target shift in zero-shot learning using grouped adversarial learning
Zero-shot learning (ZSL) algorithms typically work by exploiting attribute correlations to be able to make predictions in unseen classes.
Jointly Learning Convolutional Representations to Compress Radiological Images and Classify Thoracic Diseases in the Compressed Domain
Deep learning models trained in natural images are commonly used for different classification tasks in the medical domain.
Ranked #5 on
Pneumonia Detection
on ChestX-ray14
