Image Clustering

Most self-supervised image clustering models, actually almost all deep learning approaches, are based on gradient descent: In order to calculate the loss, every optimization step requires a clearly defined target, whethe…

Image Clustering

Universal Guideline-Driven Image Clustering via a Hybrid LLM Agent

2026-06-23 · Wenliang Zhong, Rob Barton, Lucas Goncalves, Kushal Kumar 외 arxiv

Unifying image clustering across different clustering scenarios remains challenging due to fundamental gaps among tasks. We introduce a Guideline-Driven Image Clustering Agent, the first universal framework that bridges …

Image Clustering

City-Mesh3R: Simulation-Ready City-Scale 3D Mesh Reconstruction from Multi-View Images

2026-05-28 · Sayan Paul, Sourav Ghosh, Siddharth Katageri, Soumyadip Maity 외 arxiv

City-scale 3D surface reconstruction from multiview images for downstream 3D simulation, poses highly challenging problems due to the scale and complexity of urban scenes. Existing city-scale 3D reconstruction methods ba…

3D Reconstruction Image Clustering

Reducing Bias and Variance: Generative Semantic Guidance and Bi-Layer Ensemble for Image Clustering

2026-05-13 · Feijiang Li, Zhenxiong Li, Jieting Wang, Zizheng Jiu 외 arxiv

Image clustering aims to partition unlabeled image datasets into distinct groups. A core aspect of this task is constructing and leveraging prior knowledge to guide the clustering process. Recent approaches introduce sem…

Ensemble Learning Image Clustering

Deep Spatially-Regularized and Superpixel-Based Diffusion Learning for Unsupervised Hyperspectral Image Clustering

2026-04-14 · Vutichart Buranasiri, James M. Murphy arxiv

An unsupervised framework for hyperspectral image (HSI) clustering is proposed that incorporates masked deep representation learning with diffusion-based clustering, extending the Spatially-Regularized Superpixel-based D…

Representation Learning Image Clustering

Hierarchical Textual Knowledge for Enhanced Image Clustering

2026-04-13 · Yijie Zhong, Yunfan Gao, Weipeng Jiang, Haofen Wang arxiv

Image clustering aims to group images in an unsupervised fashion. Traditional methods focus on knowledge from visual space, making it difficult to distinguish between visually similar but semantically different classes. …

Image Clustering

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