most citedNext-ViT: Next Generation Vision Transformer for Efficient Deployment in Realistic Industrial Scenarios

138 citations · 161 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2023

SparseByteNN: A Novel Mobile Inference Acceleration Framework Based on Fine-Grained Group Sparsity

Haitao Xu, Songwei Liu, Yuyang Xu +7

To address the challenge of increasing network size, researchers have developed sparse models through network pruning. However, maintaining model accuracy while achieving significa…

cs.CV2023

Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective

Yuexiao Ma, Huixia Li, Xiawu Zheng +6

Post-training quantization (PTQ) is widely regarded as one of the most efficient compression methods practically, benefitting from its data privacy and low computation costs. We ar…

cs.CV202310 cited

FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation

Jie Qin, Jie Wu, Pengxiang Yan +8

Recently, open-vocabulary learning has emerged to accomplish segmentation for arbitrary categories of text-based descriptions, which popularizes the segmentation system to more gen…

cond-mat.mtrl-sci202313 cited

Enhanced photovoltaic effect in graphene-silicon Schottky junction under mechanical manipulation

Dong Pu, Muhammad Abid Anwar, Jiachao Zhou +7

Graphene-silicon Schottky junction (GSJ) which has the potential for large-scale manufacturing and integration can bring new opportunities to Schottky solar cells for photovoltaic…

cs.CV2022138 cited

Next-ViT: Next Generation Vision Transformer for Efficient Deployment in Realistic Industrial Scenarios

Jiashi Li, Xin Xia, Wei Li +6

Due to the complex attention mechanisms and model design, most existing vision Transformers (ViTs) can not perform as efficiently as convolutional neural networks (CNNs) in realist…