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2312.09231
Cited By

Reliability in Semantic Segmentation: Can We Use Synthetic Data?

Reliability in Semantic Segmentation: Can We Use Synthetic Data?

European Conference on Computer Vision (ECCV), 2023

14 December 2023

Thibaut Loiseau

ArXiv (abs)PDF HTML

Papers citing "Reliability in Semantic Segmentation: Can We Use Synthetic Data?"

13 / 13 papers shown

ClimaOoD: Improving Anomaly Segmentation via Physically Realistic Synthetic Data

ClimaOoD: Improving Anomaly Segmentation via Physically Realistic Synthetic Data

Yuxing Liu

73

0

0

02 Dec 2025

A Framework for Low-Effort Training Data Generation for Urban Semantic Segmentation

A Framework for Low-Effort Training Data Generation for Urban Semantic Segmentation

127

0

0

13 Oct 2025

RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving

RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving

Michael Stanley

S. Nathaniel Cibik

233

3

0

19 Jun 2025

Rethinking Semi-supervised Segmentation Beyond Accuracy: Reliability and Robustness

Rethinking Semi-supervised Segmentation Beyond Accuracy: Reliability and Robustness

Markus Hillemann

270

0

0

06 Jun 2025

Panoramic Out-of-Distribution Segmentation

Panoramic Out-of-Distribution Segmentation

449

0

0

06 May 2025

DUDA: Distilled Unsupervised Domain Adaptation for Lightweight Semantic Segmentation

DUDA: Distilled Unsupervised Domain Adaptation for Lightweight Semantic Segmentation

Niluthpol Chowdhury Mithun

Abhinav Rajvanshi

S. Samarasekera

327

1

0

14 Apr 2025

PoseSyn: Synthesizing Diverse 3D Pose Data from In-the-Wild 2D Data

PoseSyn: Synthesizing Diverse 3D Pose Data from In-the-Wild 2D Data

228

0

0

17 Mar 2025

Generalize or Detect? Towards Robust Semantic Segmentation Under
Multiple Distribution Shifts

Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution ShiftsNeural Information Processing Systems (NeurIPS), 2024

Mathieu Salzmann

382

6

0

06 Nov 2024

Cityscape-Adverse: Benchmarking Robustness of Semantic Segmentation with
Realistic Scene Modifications via Diffusion-Based Image Editing

Cityscape-Adverse: Benchmarking Robustness of Semantic Segmentation with Realistic Scene Modifications via Diffusion-Based Image EditingIEEE Access (IEEE Access), 2024

Naufal Suryanto

Andro Aprila Adiputra

Ahmada Yusril Kadiptya

Thi-Thu-Huong Le

305

5

0

01 Nov 2024

First Place Solution to the ECCV 2024 BRAVO Challenge: Evaluating
Robustness of Vision Foundation Models for Semantic Segmentation

First Place Solution to the ECCV 2024 BRAVO Challenge: Evaluating Robustness of Vision Foundation Models for Semantic Segmentation

Tommie Kerssies

279

3

0

25 Sep 2024

The BRAVO Semantic Segmentation Challenge Results in UNCV2024

The BRAVO Semantic Segmentation Challenge Results in UNCV2024

Tommie Kerssies

...

Michael J. Smith

Luc Van Gool

378

5

0

23 Sep 2024

How Could Generative AI Support Compliance with the EU AI Act? A Review
for Safe Automated Driving Perception

How Could Generative AI Support Compliance with the EU AI Act? A Review for Safe Automated Driving PerceptionInternational Conference on Vehicular Electronics and Safety (ICVES), 2024

319

4

0

30 Aug 2024

Placing Objects in Context via Inpainting for Out-of-distribution
Segmentation

Placing Objects in Context via Inpainting for Out-of-distribution Segmentation

374

9

0

26 Feb 2024