27 citations · 31 across the 3 of their papers we have counts for
3 papers
cs.CV2024
FADE: A Task-Agnostic Upsampling Operator for Encoder-Decoder Architectures
Hao Lu, Wenze Liu, Hongtao Fu +1
The goal of this work is to develop a task-agnostic feature upsampling operator for dense prediction where the operator is required to facilitate not only region-sensitive tasks li…
cs.CV2023★ 4 cited
Masked Image Residual Learning for Scaling Deeper Vision Transformers
Guoxi Huang, Hongtao Fu, Adrian G. Bors
Deeper Vision Transformers (ViTs) are more challenging to train. We expose a degradation problem in deeper layers of ViT when using masked image modeling (MIM) for pre-training. To…
cs.CV2023★ 27 cited
Learning to Upsample by Learning to Sample
Wenze Liu, Hao Lu, Hongtao Fu +1
We present DySample, an ultra-lightweight and effective dynamic upsampler. While impressive performance gains have been witnessed from recent kernel-based dynamic upsamplers such a…