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most citedResidual Attention Network for Image Classification

313 citations · 2.9k across the 155 of their papers we have counts for

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Showing 2022 · cs.CVShow all

13 papers · 2 filters

cs.CV2022

A Joint Framework Towards Class-aware and Class-agnostic Alignment for Few-shot Segmentation

Kai Huang, Mingfei Cheng, Yang Wang +4

Few-shot segmentation (FSS) aims to segment objects of unseen classes given only a few annotated support images. Most existing methods simply stitch query features with independent…

cs.CV2022★ 45 cited

Conservative-Progressive Collaborative Learning for Semi-supervised Semantic Segmentation

Siqi Fan, Fenghua Zhu, Zunlei Feng +3

Pseudo supervision is regarded as the core idea in semi-supervised learning for semantic segmentation, and there is always a tradeoff between utilizing only the high-quality pseudo…

cs.CV2022

ScaleNet: Searching for the Model to Scale

Jiyang Xie, Xiu Su, Shan You +3

Recently, community has paid increasing attention on model scaling and contributed to developing a model family with a wide spectrum of scales. Current methods either simply resort…

cs.CV2022★ 42 cited

LightViT: Towards Light-Weight Convolution-Free Vision Transformers

Tao Huang, Lang Huang, Shan You +3

Vision transformers (ViTs) are usually considered to be less light-weight than convolutional neural networks (CNNs) due to the lack of inductive bias. Recent works thus resort to c…

cs.CV2022

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results

Yawei Li, Kai Zhang, Radu Timofte +108

This paper reviews the NTIRE 2022 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The task of the challenge was to super-reso…

cs.CV2022★ 7 cited

Masked Distillation with Receptive Tokens

Tao Huang, Yuan Zhang, Shan You +4

Distilling from the feature maps can be fairly effective for dense prediction tasks since both the feature discriminability and localization priors can be well transferred. However…