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 Editing

Recent advancements in generative AI, particularly diffusion-based image editing, have enabled the transformation of images into highly realistic scenes using only text instructions. This technology offers significant potential for generating diverse synthetic datasets to evaluate model robustness i...

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Bibliographic Details
Main Authors: Naufal Suryanto, Andro Aprila Adiputra, Ahmada Yusril Kadiptya, Thi-Thu-Huong Le, Derry Pratama, Yongsu Kim, Howon Kim
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Adverse conditions
benchmark
dataset
diffusion-based image editing
generative AI
model robustness
Online Access:https://ieeexplore.ieee.org/document/10870179/
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