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Found 4 papers, 2 papers with code
CRA-PCN: Point Cloud Completion with Intra- and Inter-level Cross-Resolution Transformers
Point cloud completion is an indispensable task for recovering complete point clouds due to incompleteness caused by occlusion, limited sensor resolution, etc.
ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning
With this definition, the ESPT-augmented FSL objective promotes learning more transferable feature representations that capture the local spatial features of different images and their inter-relational structural information in each input episode, thus enabling the model to generalize better to new categories with only a few samples.
ODSearch: Fast and Resource Efficient On-device Natural Language Search for Fitness Trackers' Data
Mobile and wearable technologies have promised significant changes to the healthcare industry.
Auto-MAP: A DQN Framework for Exploring Distributed Execution Plans for DNN Workloads
The last decade has witnessed growth in the computational requirements for training deep neural networks.
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