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Found 7 papers, 0 papers with code
MHLR: Moving Haar Learning Rate Scheduler for Large-scale Face Recognition Training with One GPU
MHLR supports large-scale FR training with only one GPU, which is able to accelerate the model to 1/4 of its original training time without sacrificing more than 1% accuracy.
Lyrics: Boosting Fine-grained Language-Vision Alignment and Comprehension via Semantic-aware Visual Objects
During the instruction fine-tuning stage, we introduce semantic-aware visual feature extraction, a crucial method that enables the model to extract informative features from concrete visual objects.
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SUGAR: Spherical Ultrafast Graph Attention Framework for Cortical Surface Registration
Cortical surface registration plays a crucial role in aligning cortical functional and anatomical features across individuals.
KDCTime: Knowledge Distillation with Calibration on InceptionTime for Time-series Classification
Time-series classification approaches based on deep neural networks are easy to be overfitting on UCR datasets, which is caused by the few-shot problem of those datasets.
Regularization Matters: A Nonparametric Perspective on Overparametrized Neural Network
Overparametrized neural networks trained by gradient descent (GD) can provably overfit any training data.
Self-organization of multi-layer spiking neural networks
Inspired by this strategy, we attempt to efficiently self-organize large neural networks with an arbitrary number of layers into a wide variety of architectures.
Dunhuang Grottoes Painting Dataset and Benchmark
Follow the trend, we release the first public dataset for Dunhuang Grotto Painting restoration.
