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Found 4 papers, 1 papers with code
Learning Temporal Cues by Predicting Objects Move for Multi-camera 3D Object Detection
To this end, we propose a model called DAP (Detection After Prediction), consisting of a two-branch network: (i) a branch responsible for forecasting the current objects' poses given past observations and (ii) another branch that detects objects based on the current and past observations.
SelfReg: Self-supervised Contrastive Regularization for Domain Generalization
However, the performance of contrastive learning fundamentally depends on quality and quantity of negative data pairs.
Ranked #58 on
Domain Generalization
on PACS
Deep Learning on Key Performance Indicators for Predictive Maintenance in SAP HANA
The experimental results with real-world data confirm the effectiveness of the system and models.
Intrinsic Geometric Information Transfer Learning on Multiple Graph-Structured Datasets
Graphs provide a powerful means for representing complex interactions between entities.
