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Robust Semantic Segmentation with Superpixel-Mix

Robust Semantic Segmentation with Superpixel-Mix

2 August 2021
Gianni Franchi
Nacim Belkhir
Mai Lan Ha
Yufei Hu
Andrei Bursuc
V. Blanz
Angela Yao
    UQCV
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Papers citing "Robust Semantic Segmentation with Superpixel-Mix"

18 / 18 papers shown
Title
D-Feat Occlusions: Diffusion Features for Robustness to Partial Visual Occlusions in Object Recognition
D-Feat Occlusions: Diffusion Features for Robustness to Partial Visual Occlusions in Object Recognition
Rupayan Mallick
Sibo Dong
Nataniel Ruiz
Sarah Adel Bargal
DiffM
47
0
0
08 Apr 2025
The BRAVO Semantic Segmentation Challenge Results in UNCV2024
The BRAVO Semantic Segmentation Challenge Results in UNCV2024
Tuan-Hung Vu
Eduardo Valle
Andrei Bursuc
Tommie Kerssies
Daan de Geus
...
Michael J. Smith
F. Ferrie
Shamik Basu
Christos Sakaridis
Luc Van Gool
UQCV
VLM
41
3
0
23 Sep 2024
Benchmarking Segmentation Models with Mask-Preserved Attribute Editing
Benchmarking Segmentation Models with Mask-Preserved Attribute Editing
Zijin Yin
Kongming Liang
Bing Li
Zhanyu Ma
Jun Guo
VLM
33
2
0
02 Mar 2024
2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic
  Segmentation
2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation
Ozan Unal
Dengxin Dai
Lukas Hoyer
Y. Can
Luc Van Gool
3DPC
13
5
0
27 Nov 2023
Tailoring Mixup to Data for Calibration
Tailoring Mixup to Data for Calibration
Quentin Bouniot
Pavlo Mozharovskyi
Florence dÁlché-Buc
55
1
0
02 Nov 2023
Rethinking Superpixel Segmentation from Biologically Inspired Mechanisms
Rethinking Superpixel Segmentation from Biologically Inspired Mechanisms
Ting Zhao
Bo Peng
Yuan Sun
Daipeng Yang
ZhenGuang Zhange
Xi Wu
14
3
0
23 Sep 2023
Improving CLIP Robustness with Knowledge Distillation and Self-Training
Improving CLIP Robustness with Knowledge Distillation and Self-Training
Clement Laroudie
Andrei Bursuc
Mai Lan Ha
Gianni Franchi
VLM
24
5
0
19 Sep 2023
Learning to Generate Training Datasets for Robust Semantic Segmentation
Learning to Generate Training Datasets for Robust Semantic Segmentation
Marwane Hariat
Olivier Laurent
Rémi Kazmierczak
Shihao Zhang
Andrei Bursuc
Angela Yao
Gianni Franchi
UQCV
21
2
0
01 Aug 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods,
  Applications, and Explainability
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability
Chengtai Cao
Fan Zhou
Yurou Dai
Jianping Wang
Kunpeng Zhang
AAML
16
27
0
21 Dec 2022
Improving Predictive Performance and Calibration by Weight Fusion in
  Semantic Segmentation
Improving Predictive Performance and Calibration by Weight Fusion in Semantic Segmentation
Timo Sämann
A. Hammam
Andrei Bursuc
Christoph Stiller
H. Groß
FedML
25
1
0
22 Jul 2022
Latent Discriminant deterministic Uncertainty
Latent Discriminant deterministic Uncertainty
Gianni Franchi
Xuanlong Yu
Andrei Bursuc
Emanuel Aldea
Séverine Dubuisson
David Filliat
UQCV
22
18
0
20 Jul 2022
SuperpixelGridCut, SuperpixelGridMean and SuperpixelGridMix Data
  Augmentation
SuperpixelGridCut, SuperpixelGridMean and SuperpixelGridMix Data Augmentation
K. Hammoudi
A. Cabani
Bouthaina Slika
H. Benhabiles
Fadi Dornaika
Mahmoud Melkemi
23
3
0
11 Apr 2022
FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation
FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation
Sohyun Lee
Taeyoung Son
Suha Kwak
43
72
0
04 Apr 2022
MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for
  multiple uncertainty types and tasks
MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks
Gianni Franchi
Xuanlong Yu
Andrei Bursuc
Ángel Tena
Rémi Kazmierczak
Séverine Dubuisson
Emanuel Aldea
David Filliat
UQCV
13
28
0
02 Mar 2022
ViCE: Improving Dense Representation Learning by Superpixelization and
  Contrasting Cluster Assignment
ViCE: Improving Dense Representation Learning by Superpixelization and Contrasting Cluster Assignment
Robin Karlsson
Tomoki Hayashi
Keisuke Fujii
Alexander Carballo
Kento Ohtani
K. Takeda
SSL
34
4
0
24 Nov 2021
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity
Jang-Hyun Kim
Wonho Choo
Hosan Jeong
Hyun Oh Song
197
176
0
05 Feb 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,660
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
252
9,134
0
06 Jun 2015
1