SegNeXt: Rethinking Convolutional Attention Design for Semantic
Segmentation

SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation

18 September 2022

Ming-Ming Cheng

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Papers citing "SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation"

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Title
Conv2Former: A Simple Transformer-Style ConvNet for Visual Recognition Qibin Hou Cheng Lu Mingg-Ming Cheng Jiashi Feng ViT 126 141 0 22 Nov 2022
Computational Imaging for Machine Perception: Transferring Semantic Segmentation beyond Aberrations Zhijie Xu Haowen Shi Shaohua Gao Jiaming Zhang Kailun Yang Lei Sun Huajian Ni Kaiwei Wang 94 5 0 21 Nov 2022
L-MAE: Masked Autoencoders are Semantic Segmentation Datasets Augmenter Jiaru Jia Ming-Yuan Liu Jiake Xie Xin Chen Hong Zhang Xin Jiang Aiqing Yang 67 0 0 21 Nov 2022
EfficientViT: Multi-Scale Linear Attention for High-Resolution Dense Prediction Han Cai Junyan Li Muyan Hu Chuang Gan Song Han 105 58 0 29 May 2022
CNNs Avoid Curse of Dimensionality by Learning on Patches Vamshi C. Madala S. Chandrasekaran Jason Bunk UQCV 92 6 0 22 May 2022
Sampling Equivariant Self-attention Networks for Object Detection in Aerial Images Guo-Ye Yang Xiang-Li Li Ralph Robert Martin Shimin Hu 3DPC 56 13 0 05 Nov 2021