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MOSAIC: Mobile Segmentation via decoding Aggregated Information and
  encoded Context

MOSAIC: Mobile Segmentation via decoding Aggregated Information and encoded Context

22 December 2021
Weijun Wang
Andrew G. Howard
    Mamba
ArXivPDFHTML

Papers citing "MOSAIC: Mobile Segmentation via decoding Aggregated Information and encoded Context"

4 / 4 papers shown
Title
MaskConver: Revisiting Pure Convolution Model for Panoptic Segmentation
MaskConver: Revisiting Pure Convolution Model for Panoptic Segmentation
Abdullah Rashwan
Jiageng Zhang
A. Taalimi
Fan Yang
Xingyi Zhou
Chaochao Yan
Liang-Chieh Chen
Yeqing Li
ViT
23
5
0
11 Dec 2023
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
948
20,214
0
17 Apr 2017
ENet: A Deep Neural Network Architecture for Real-Time Semantic
  Segmentation
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
Adam Paszke
Abhishek Chaurasia
Sangpil Kim
Eugenio Culurciello
SSeg
210
2,034
0
07 Jun 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
423
15,438
0
02 Nov 2015
1