DeiT-B
PulseAugur coverage of DeiT-B — every cluster mentioning DeiT-B across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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New depth pruning method boosts Vision Transformer efficiency
Researchers have developed a new method called HetDPT to improve depth pruning for Vision Transformers (ViTs). This approach accounts for the heterogeneity between different layers, which was a limitation in previous de…
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New SoftMoR technique enables deeper, more efficient Vision Transformers
Researchers have introduced Soft Mixture-of-Recursions (SoftMoR), a novel approach to enhance Vision Transformers (ViTs) by enabling them to leverage intermediate representations from all recursion steps. This method, i…
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STARFISH method boosts accuracy recovery in pruned neural networks
Researchers have developed a new method called STARFISH to efficiently restore accuracy in neural networks after pruning. Pruning reduces network size for faster inference but often degrades accuracy. STARFISH optimizes…