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Chapter and Conference Paper
Network Pruning via Explicit Information Migration
Neural network pruning is a widely used approach for reducing the inference cost of deep models in order to deploy on resource-limited settings. However, current pruning works lack attention to information mig...
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Chapter and Conference Paper
Convolutional Embedding Makes Hierarchical Vision Transformer Stronger
Vision Transformers (ViTs) have recently dominated a range of computer vision tasks, yet it suffers from low training data efficiency and inferior local semantic representation capability without appropriate i...