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HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic
  Segmentation in Driving Scenarios

HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios

17 September 2024
Nick Theisen
Robin Bartsch
Dietrich Paulus
Peer Neubert
ArXivPDFHTML

Papers citing "HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios"

3 / 3 papers shown
Title
CARL: Camera-Agnostic Representation Learning for Spectral Image Analysis
CARL: Camera-Agnostic Representation Learning for Spectral Image Analysis
Alexander Baumann
Leonardo Ayala
Shri Kiran Srinivasan
Jan Sellner
Alexander Studier-Fischer
Berkin Özdemir
Lena Maier-Hein
Slobodan Ilic
51
0
0
27 Apr 2025
On-chip Hyperspectral Image Segmentation with Fully Convolutional
  Networks for Scene Understanding in Autonomous Driving
On-chip Hyperspectral Image Segmentation with Fully Convolutional Networks for Scene Understanding in Autonomous Driving
Jon Gutiérrez-Zaballa
Koldo Basterretxea
Javier Echanobe
M. Victoria Martínez
Unai Martínez-Corral
Óscar Mata-Carballeira
Inés del Campo
116
17
0
28 Nov 2024
HSI-Drive v2.0: More Data for New Challenges in Scene Understanding for
  Autonomous Driving
HSI-Drive v2.0: More Data for New Challenges in Scene Understanding for Autonomous Driving
Jon Gutiérrez-Zaballa
Koldo Basterretxea
Javier Echanobe
M. Victoria Martínez
Unai Martínez-Corral
3DV
109
8
0
26 Nov 2024
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