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Found 4 papers, 0 papers with code
Convolutional Neural Network Compression via Dynamic Parameter Rank Pruning
To address these issues, we propose an efficient training method for CNN compression via dynamic parameter rank pruning.
Tensor Factorization for Leveraging Cross-Modal Knowledge in Data-Constrained Infrared Object Detection
We first pretrain these factor matrices on the RGB modality, for which plenty of training data are assumed to exist and then augment only a few trainable parameters for training on the IR modality to avoid over-fitting, while encouraging them to capture complementary cues from those trained only on the RGB modality.
A Correspondence Analysis Framework for Author-Conference Recommendations
Often, established scientists and especially newbies are caught up in the dilemma of choosing an appropriate conference to get their work through.
Wearable Audio and IMU Based Shot Detection in Racquet Sports
Wearables like smartwatches which are embedded with sensors and powerful processors, provide a strong platform for development of analytics solutions in sports domain.
