Cover Image

Classification Drives Geographic Bias in Street Scene Segmentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nair, Rahul, Tseng, Gabriel, Rolf, Esther, Tokas, Bhanu, Kerner, Hannah
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Computers and Society Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DPA: A one-stop metric to measure bias amplification in classification datasets
by: Tokas, Bhanu, et al.
Published: (2024)

A Woman with a Knife or A Knife with a Woman? Measuring Directional Bias Amplification in Image Captions
by: Nair, Rahul, et al.
Published: (2025)

How Does the Spatial Distribution of Pre-training Data Affect Geospatial Foundation Models?
by: Purohit, Mirali, et al.
Published: (2025)

Pretrain Where? Investigating How Pretraining Data Diversity Impacts Geospatial Foundation Model Performance
by: Kaur, Amandeep, et al.
Published: (2026)

Mission Critical -- Satellite Data is a Distinct Modality in Machine Learning
by: Rolf, Esther, et al.
Published: (2024)

Latent Domain Modeling Improves Robustness to Geographic Shifts
by: Crasto, Ruth, et al.
Published: (2025)

Multi-Region Transfer Learning for Segmentation of Crop Field Boundaries in Satellite Images with Limited Labels
by: Kerner, Hannah, et al.
Published: (2024)

MOMO: Mars Orbital Model Foundation Model for Mars Orbital Applications
by: Purohit, Mirali, et al.
Published: (2026)

Do Street View Imagery and Public Participation GIS align: Comparative Analysis of Urban Attractiveness
by: Malekzadeh, Milad, et al.
Published: (2025)

Leveraging Self-Supervised Learning for Scene Classification in Child Sexual Abuse Imagery
by: Valois, Pedro H. V., et al.
Published: (2024)

No One Knows the State of the Art in Geospatial Foundation Models
by: Corley, Isaac, et al.
Published: (2026)

SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery
by: Klemmer, Konstantin, et al.
Published: (2023)

Improving Adversarial Robust Fairness via Anti-Bias Soft Label Distillation
by: Zhao, Shiji, et al.
Published: (2023)

OxEnsemble: Fair Ensembles for Low-Data Classification
by: Rystrøm, Jonathan, et al.
Published: (2025)

The Harsh Truth: Segment-Level Analysis of Harsh Driving Events in Milan Using Large-Scale Telematics, Street Networks, and Google Street View
by: La Grotteria, Andrea, et al.
Published: (2026)

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks
by: Gopinathan, Vignesh, et al.
Published: (2025)

Person-Centric Annotations of LAION-400M: Auditing Bias and Its Transfer to Models
by: Girrbach, Leander, et al.
Published: (2025)

ICPR 2024 Competition on Safe Segmentation of Drive Scenes in Unstructured Traffic and Adverse Weather Conditions
by: Shaik, Furqan Ahmed, et al.
Published: (2024)

Bias Begets Bias: The Impact of Biased Embeddings on Diffusion Models
by: Kuchlous, Sahil, et al.
Published: (2024)

Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation
by: Stone, Rebecca S, et al.
Published: (2022)

Hidden Bias in the Machine: Stereotypes in Text-to-Image Models
by: Porikli, Sedat, et al.
Published: (2025)

Using Multiple Input Modalities Can Improve Data-Efficiency and O.O.D. Generalization for ML with Satellite Imagery
by: Rao, Arjun, et al.
Published: (2025)

Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models
by: Krug, Valerie, et al.
Published: (2025)

Gender Bias in Text-to-Video Generation Models: A case study of Sora
by: Nadeem, Mohammad, et al.
Published: (2024)

Demographic Bias of Expert-Level Vision-Language Foundation Models in Medical Imaging
by: Yang, Yuzhe, et al.
Published: (2024)

Cropland Mapping using Geospatial Embeddings
by: Zvonkov, Ivan, et al.
Published: (2025)

Neglected Risks: The Disturbing Reality of Children's Images in Datasets and the Urgent Call for Accountability
by: Caetano, Carlos, et al.
Published: (2025)

Slicing Through Bias: Explaining Performance Gaps in Medical Image Analysis using Slice Discovery Methods
by: Olesen, Vincent, et al.
Published: (2024)

PRUE: A Practical Recipe for Field Boundary Segmentation at Scale
by: Muhawenayo, Gedeon, et al.
Published: (2026)

D3G: Diverse Demographic Data Generation Increases Zero-Shot Image Classification Accuracy within Multimodal Models
by: Hickmon, Javon
Published: (2025)

Multimodal Approaches to Fair Image Classification: An Ethical Perspective
by: Hickmon, Javon
Published: (2024)

Examining Pathological Bias in a Generative Adversarial Network Discriminator: A Case Study on a StyleGAN3 Model
by: Grissom II, Alvin, et al.
Published: (2024)

Classification for everyone : Building geography agnostic models for fairer recognition
by: Jindal, Akshat, et al.
Published: (2023)

Faster ISNet for Background Bias Mitigation on Deep Neural Networks
by: Bassi, Pedro R. A. S., et al.
Published: (2024)

DriveTok: 3D Driving Scene Tokenization for Unified Multi-View Reconstruction and Understanding
by: Zhuo, Dong, et al.
Published: (2026)

Beyond Images: Adaptive Fusion of Visual and Textual Data for Food Classification
by: Mittal, Prateek, et al.
Published: (2023)

Graph Neural Networks for Surgical Scene Segmentation
by: Li, Yihan, et al.
Published: (2025)

A Self-Supervised Learning Pipeline for Demographically Fair Facial Attribute Classification
by: Ramachandran, Sreeraj, et al.
Published: (2024)

TransFair: Transferring Fairness from Ocular Disease Classification to Progression Prediction
by: Gheisi, Leila, et al.
Published: (2024)

Enhancing Fairness in Skin Lesion Classification for Medical Diagnosis Using Prune Learning
by: Paxton, Kuniko, et al.
Published: (2025)