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Sci-Net: Scale Invariant Model for Buildings Segmentation from Aerial
  Imagery

Sci-Net: Scale Invariant Model for Buildings Segmentation from Aerial Imagery

12 November 2021
Hasan Nasrallah
Mustafa Shukor
A. Ghandour
    SSeg
ArXivPDFHTML

Papers citing "Sci-Net: Scale Invariant Model for Buildings Segmentation from Aerial Imagery"

4 / 4 papers shown
Title
Robust Disaster Assessment from Aerial Imagery Using Text-to-Image
  Synthetic Data
Robust Disaster Assessment from Aerial Imagery Using Text-to-Image Synthetic Data
Tarun Kalluri
Jihyeon Janel Lee
Kihyuk Sohn
Sahil Singla
Manmohan Chandraker
Joseph Z. Xu
Jeremiah Liu
29
1
0
22 May 2024
Few-Shot Rotation-Invariant Aerial Image Semantic Segmentation
Few-Shot Rotation-Invariant Aerial Image Semantic Segmentation
Qinglong Cao
Yuntian Chen
Chao Ma
Xiaokang Yang
19
12
0
29 May 2023
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
261
10,106
0
16 Nov 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
429
15,438
0
02 Nov 2015
1