Cover Image

What Are We Really Measuring? Rethinking Dataset Bias in Web-Scale Natural Image Collections via Unsupervised Semantic Clustering

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Saleknia, Amir Hossein, Sabokrou, Mohammad
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Continual Learning: Less Forgetting, More OOD Generalization via Adaptive Contrastive Replay
by: Rezaei, Hossein, et al.
Published: (2024)

Mitigating Spurious Negative Pairs for Robust Industrial Anomaly Detection
by: Mirzaei, Hossein, et al.
Published: (2025)

Rethinking Image Forgery Detection via Soft Contrastive Learning and Unsupervised Clustering
by: Wu, Haiwei, et al.
Published: (2023)

Unsupervised Representation Learning for 3D Mesh Parameterization with Semantic and Visibility Objectives
by: Zamani, AmirHossein, et al.
Published: (2025)

Mamba? Catch The Hype Or Rethink What Really Helps for Image Registration
by: Jian, Bailiang, et al.
Published: (2024)

What If We Recaption Billions of Web Images with LLaMA-3?
by: Li, Xianhang, et al.
Published: (2024)

A Dataset for Mechanical Mechanisms
by: Ghezelbash, Farshid, et al.
Published: (2024)

Hallucination as an Upper Bound: A New Perspective on Text-to-Image Evaluation
by: Kasaei, Seyed Amir, et al.
Published: (2025)

When Semantics Regulate: Rethinking Patch Shuffle and Internal Bias for Generated Image Detection with CLIP
by: Chu, Beilin, et al.
Published: (2025)

Enhancing Anomaly Detection Generalization through Knowledge Exposure: The Dual Effects of Augmentation
by: Anvari, Mohammad Akhavan, et al.
Published: (2024)

Rethinking Unsupervised Domain Adaptation for Semantic Segmentation
by: Wang, Zhijie, et al.
Published: (2022)

Rethinking Alignment and Uniformity in Unsupervised Semantic Segmentation
by: Zhang, Daoan, et al.
Published: (2022)

A Lightweight Clustering Framework for Unsupervised Semantic Segmentation
by: Cheung, Yau Shing Jonathan, et al.
Published: (2023)

ReCLIP++: Learn to Rectify the Bias of CLIP for Unsupervised Semantic Segmentation
by: Wang, Jingyun, et al.
Published: (2024)

Unsupervised Class Generation to Expand Semantic Segmentation Datasets
by: Montalvo, Javier, et al.
Published: (2025)

Towards Unsupervised Domain Bridging via Image Degradation in Semantic Segmentation
by: Li, Wangkai, et al.
Published: (2024)

Rethinking Unsupervised Outlier Detection via Multiple Thresholding
by: Liu, Zhonghang, et al.
Published: (2024)

A Decade's Battle on Dataset Bias: Are We There Yet?
by: Liu, Zhuang, et al.
Published: (2024)

Extracting Overlapping Microservices from Monolithic Code via Deep Semantic Embeddings and Graph Neural Network-Based Soft Clustering
by: Ziabakhsh, Morteza, et al.
Published: (2025)

No Concept Left Behind: Test-Time Optimization for Compositional Text-to-Image Generation
by: Sameti, Mohammad Hossein, et al.
Published: (2025)

Deep Unsupervised Anomaly Detection in Brain Imaging: Large-Scale Benchmarking and Bias Analysis
by: Frotscher, Alexander, et al.
Published: (2025)

Deep Spectral Improvement for Unsupervised Image Instance Segmentation
by: Arefi, Farnoosh, et al.
Published: (2024)

Erasure or Erosion? Evaluating Compositional Degradation in Unlearned Text-To-Image Diffusion Models
by: Koma, Arian Komaei, et al.
Published: (2026)

Break Stylistic Sophon: Are We Really Meant to Confine the Imagination in Style Transfer?
by: Yan, Gary Song, et al.
Published: (2025)

Faces of Fairness: Examining Bias in Facial Expression Recognition Datasets and Models
by: Hosseini, Mohammad Mehdi, et al.
Published: (2025)

Semantically Robust Unsupervised Image Translation for Paired Remote Sensing Images
by: Fang, Sheng, et al.
Published: (2025)

AquaCluster: Using Satellite Images And Self-supervised Machine Learning Networks To Detect Water Hidden Under Vegetation
by: Iakovidis, Ioannis, et al.
Published: (2025)

What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases
by: Tiong, Anthony Meng Huat, et al.
Published: (2024)

Diff-Tracker: Text-to-Image Diffusion Models are Unsupervised Trackers
by: Zhang, Zhengbo, et al.
Published: (2024)

Probing Multimodal Fusion in the Brain: The Dominance of Audiovisual Streams in Naturalistic Encoding
by: Abdollahi, Hamid, et al.
Published: (2025)

Do Existing Testing Tools Really Uncover Gender Bias in Text-to-Image Models?
by: Lyu, Yunbo, et al.
Published: (2025)

Reducing Bias and Variance: Generative Semantic Guidance and Bi-Layer Ensemble for Image Clustering
by: Li, Feijiang, et al.
Published: (2026)

Rethinking Generative Image Pretraining: How Far Are We From Scaling Up Next-Pixel Prediction?
by: Yan, Xinchen, et al.
Published: (2025)

Nighttime Driver Behavior Prediction Using Taillight Signal Recognition via CNN-SVM Classifier
by: Barshooi, Amir Hossein, et al.
Published: (2023)

APML: Adaptive Probabilistic Matching Loss for Robust 3D Point Cloud Reconstruction
by: Sharifipour, Sasan, et al.
Published: (2025)

LatentDiff: Scaling Semantic Dataset Comparison to Millions of Images
by: Flora, James, et al.
Published: (2026)

Unsupervised Image Classification with Adaptive Nearest Neighbor Selection and Cluster Ensembles
by: Baydar, Melih, et al.
Published: (2025)

PointDC:Unsupervised Semantic Segmentation of 3D Point Clouds via Cross-modal Distillation and Super-Voxel Clustering
by: Chen, Zisheng, et al.
Published: (2023)

What Really Matters for Robust Multi-Sensor HD Map Construction?
by: Hao, Xiaoshuai, et al.
Published: (2025)

What Really Matters for Learning-based LiDAR-Camera Calibration
by: Huang, Shujuan, et al.
Published: (2025)