4 citations · 8 across the 8 of their papers we have counts for
Showing 2024Show all
3 papers · 1 filter
cs.CV2024
ScaleKD: Strong Vision Transformers Could Be Excellent Teachers
Jiawei Fan, Chao Li, Xiaolong Liu +1
In this paper, we question if well pre-trained vision transformer (ViT) models could be used as teachers that exhibit scalable properties to advance cross architecture knowledge di…
cs.CV2024★ 3 cited
KernelWarehouse: Rethinking the Design of Dynamic Convolution
Chao Li, Anbang Yao
Dynamic convolution learns a linear mixture of n static kernels weighted with their input-dependent attentions, demonstrating superior performance than normal convolution. However,…
cs.CV2024★ 1 cited
NOAH: Learning Pairwise Object Category Attentions for Image Classification
Chao Li, Aojun Zhou, Anbang Yao
A modern deep neural network (DNN) for image classification tasks typically consists of two parts: a backbone for feature extraction, and a head for feature encoding and class pred…