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Found 5 papers, 0 papers with code
Enhancing Cross-domain Click-Through Rate Prediction via Explicit Feature Augmentation
Later the augmentation network employs the explicit cross-domain knowledge as augmented information to boost the target domain CTR prediction.
Image to Multi-Modal Retrieval for Industrial Scenarios
We formally define a novel valuable information retrieval task: image-to-multi-modal-retrieval (IMMR), where the query is an image and the doc is an entity with both image and textual description.
Cross-domain Augmentation Networks for Click-Through Rate Prediction
The translation network is able to compute features from two domains with heterogeneous inputs separately by designing two independent branches, and then learn meaningful cross-domain knowledge using a designed cross-supervised feature translator.
Spatio-Temporal Graph Complementary Scattering Networks
Spatio-temporal graph signal analysis has a significant impact on a wide range of applications, including hand/body pose action recognition.
Semi-supervised 3D Hand-Object Pose Estimation via Pose Dictionary Learning
Experiments are conducted on FPHA and HO-3D datasets.
