HiAP: A Multi-Granular Stochastic Auto-Pruning Framework for Vision Transformers | ScienceToStartup | ScienceToStartup

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References (33)

[1]

MDP: Multidimensional Vision Model Pruning with Latency Constraint

2025Xinglong Sun, Barath Lakshmanan et al.

[2]

Isomorphic Pruning for Vision Models

2024Gongfan Fang, Xinyin Ma et al.

[3]

UPDP: A Unified Progressive Depth Pruner for CNN and Vision Transformer

Founder's Pitch

"HiAP is an innovative framework that optimizes Vision Transformers for efficient deployment on edge devices through multi-granular stochastic pruning."

Vision Transformers•Score: 6•View PDF ↗

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HiAP: A Multi-Granular Stochastic Auto-Pruning Framework for Vision Transformers

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References (33)

Founder's Pitch

"HiAP is an innovative framework that optimizes Vision Transformers for efficient deployment on edge devices through multi-granular stochastic pruning."

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HiAP: A Multi-Granular Stochastic Auto-Pruning Framework for Vision Transformers

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References (33)

Founder's Pitch

"HiAP is an innovative framework that optimizes Vision Transformers for efficient deployment on edge devices through multi-granular stochastic pruning."

Commercial Viability Breakdown

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