128 citations · 167 across the 5 of their papers we have counts for
5 papers
HRFormer: High-Resolution Transformer for Dense Prediction
Yuhui Yuan, Rao Fu, Lang Huang +4
We present a High-Resolution Transformer (HRFormer) that learns high-resolution representations for dense prediction tasks, in contrast to the original Vision Transformer that prod…
Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation
Zhiwei Hao, Jianyuan Guo, Ding Jia +5
In the past few years, transformers have achieved promising performances on various computer vision tasks. Unfortunately, the immense inference overhead of most existing vision tra…
Zero-Sum Triangles for Involutory, Idempotent, Nilpotent and Unipotent Matrices
Pengwei Hao, Chao Zhang, Huahan Hao
In some matrix formations, factorizations and transformations, we need special matrices with some properties and we wish that such matrices should be easily and simply generated an…
Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection
Jianyuan Guo, Kai Han, Yunhe Wang +5
Neural Architecture Search (NAS) has achieved great success in image classification task. Some recent works have managed to explore the automatic design of efficient backbone or fe…
Perspectives of Racetrack Memory for Large-Capacity On-Chip Memory: From Device to System
Yue Zhang, Chao Zhang, Jiang Nan +6
Current-induced domain wall motion (CIDWM) is regarded as a promising way towards achieving emerging high-density, high-speed and low-power non-volatile devices. Racetrack memory i…