Cover Image

A Modern Look at Simplicity Bias in Image Classification Tasks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chang, Xiaoguang, Wang, Teng, Sun, Changyin
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Synthetic Simplicity: Unveiling Bias in Medical Data Augmentation
by: Babu, Krishan Agyakari Raja, et al.
Published: (2024)

Fairness Analysis of CLIP-Based Foundation Models for X-Ray Image Classification
by: Sun, Xiangyu, et al.
Published: (2025)

Divide and Conquer: Object Co-occurrence Helps Mitigate Simplicity Bias in OOD Detection
by: Dai, Boyang, et al.
Published: (2026)

Recurrent Aligned Network for Generalized Pedestrian Trajectory Prediction
by: Dong, Yonghao, et al.
Published: (2024)

Changing the Training Data Distribution to Reduce Simplicity Bias Improves In-distribution Generalization
by: Nguyen, Dang, et al.
Published: (2024)

How Bias Binds: Measuring Hidden Associations for Bias Control in Text-to-Image Compositions
by: Li, Jeng-Lin, et al.
Published: (2025)

DEPICT: Diffusion-Enabled Permutation Importance for Image Classification Tasks
by: Jabbour, Sarah, et al.
Published: (2024)

Active Generation for Image Classification
by: Huang, Tao, et al.
Published: (2024)

Looking into Concept Explanation Methods for Diabetic Retinopathy Classification
by: Storås, Andrea M., et al.
Published: (2024)

CLOFAI: A Dataset of Real And Fake Image Classification Tasks for Continual Learning
by: Doherty, William, et al.
Published: (2025)

Zero-Training Task-Specific Model Synthesis for Few-Shot Medical Image Classification
by: Qin, Yao, et al.
Published: (2025)

Data-Driven Analysis of Intersectional Bias in Image Classification: A Framework with Bias-Weighted Augmentation
by: Yesmin, Farjana
Published: (2025)

FMDNN: A Fuzzy-guided Multi-granular Deep Neural Network for Histopathological Image Classification
by: Ding, Weiping, et al.
Published: (2024)

OpenBias: Open-set Bias Detection in Text-to-Image Generative Models
by: D'Incà, Moreno, et al.
Published: (2024)

Decoupled Data Augmentation for Improving Image Classification
by: Chen, Ruoxin, et al.
Published: (2024)

Spatial-Aware Latent Initialization for Controllable Image Generation
by: Sun, Wenqiang, et al.
Published: (2024)

Libra-MIL: Multimodal Prototypes Stereoscopic Infused with Task-specific Language Priors for Few-shot Whole Slide Image Classification
by: Zhuang, Zhenfeng, et al.
Published: (2025)

Measuring and Controlling the Spectral Bias for Self-Supervised Image Denoising
by: Zhang, Wang, et al.
Published: (2025)

Auditing and Mitigating Bias in Gender Classification Algorithms: A Data-Centric Approach
by: Bahiru, Tadesse K, et al.
Published: (2025)

Practical Transferability Estimation for Image Classification Tasks
by: Tan, Yang, et al.
Published: (2021)

Modern Deep Learning Approaches for Cricket Shot Classification: A Comprehensive Baseline Study
by: Kang, Sungwoo
Published: (2025)

AI-Generated Images: What Humans and Machines See When They Look at the Same Image
by: Poletti, Silvia, et al.
Published: (2026)

Searching Realistic-Looking Adversarial Objects For Autonomous Driving Systems
by: Sun, Shengxiang, et al.
Published: (2024)

TSP-OCS: A Time-Series Prediction for Optimal Camera Selection in Multi-Viewpoint Surgical Video Analysis
by: Liu, Xinyu, et al.
Published: (2025)

Think Before You Act: A Two-Stage Framework for Mitigating Gender Bias Towards Vision-Language Tasks
by: Zhang, Yunqi, et al.
Published: (2024)

Right Looks, Wrong Reasons: Compositional Fidelity in Text-to-Image Generation
by: Vatsa, Mayank, et al.
Published: (2025)

PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning
by: Zhou, Qifeng, et al.
Published: (2024)

Evolving CNN Architectures: From Custom Designs to Deep Residual Models for Diverse Image Classification and Detection Tasks
by: Hasan, Mahmudul, et al.
Published: (2026)

AHA -- Predicting What Matters Next: Online Highlight Detection Without Looking Ahead
by: Chang, Aiden, et al.
Published: (2025)

CRFT: Consistent-Recurrent Feature Flow Transformer for Cross-Modal Image Registration
by: Liu, Xuecong, et al.
Published: (2026)

World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks
by: Lin, Zuyao, et al.
Published: (2026)

Survey of Bias In Text-to-Image Generation: Definition, Evaluation, and Mitigation
by: Wan, Yixin, et al.
Published: (2024)

A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis
by: Paul, Dipanjyoti, et al.
Published: (2023)

Faster Image2Video Generation: A Closer Look at CLIP Image Embedding's Impact on Spatio-Temporal Cross-Attentions
by: Taghipour, Ashkan, et al.
Published: (2024)

Looking Back and Forth: Cross-Image Attention Calibration and Attentive Preference Learning for Multi-Image Hallucination Mitigation
by: Yang, Xiaochen, et al.
Published: (2026)

Robust Latent Representation Tuning for Image-text Classification
by: Sun, Hao, et al.
Published: (2024)

Memory-Inspired Temporal Prompt Interaction for Text-Image Classification
by: Yu, Xinyao, et al.
Published: (2024)

Thinking Before Looking: Improving Multimodal LLM Reasoning via Mitigating Visual Hallucination
by: Zheng, Haojie, et al.
Published: (2024)

Automated Multi-label Classification of Eleven Retinal Diseases: A Benchmark of Modern Architectures and a Meta-Ensemble on a Large Synthetic Dataset
by: Cao-Xue, Jerry, et al.
Published: (2025)

FAIntbench: A Holistic and Precise Benchmark for Bias Evaluation in Text-to-Image Models
by: Luo, Hanjun, et al.
Published: (2024)