Imagen de Portada

Linking Robustness and Generalization: A k* Distribution Analysis of Concept Clustering in Latent Space for Vision Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Kotyan, Shashank, Chen, Pin-Yu, Vargas, Danilo Vasconcellos
Formato:	Preprint
Publicado:	2024
Materias:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

k* Distribution: Evaluating the Latent Space of Deep Neural Networks using Local Neighborhood Analysis
por: Kotyan, Shashank, et al.
Publicado: (2023)

Breaking Free: How to Hack Safety Guardrails in Black-Box Diffusion Models!
por: Kotyan, Shashank, et al.
Publicado: (2024)

Local Concept Embeddings for Analysis of Concept Distributions in Vision DNN Feature Spaces
por: Mikriukov, Georgii, et al.
Publicado: (2023)

SyncMapV2: Robust and Adaptive Unsupervised Segmentation
por: Zhang, Heng, et al.
Publicado: (2025)

Nomic Embed Vision: Expanding the Latent Space
por: Nussbaum, Zach, et al.
Publicado: (2024)

Unsupervised Dynamic Feature Selection for Robust Latent Spaces in Vision Tasks
por: Corcuera, Bruno, et al.
Publicado: (2025)

Tiny-Engram: Trigger-Indexed Concept Tables for Generative Vision
por: Cai, Runyuan, et al.
Publicado: (2026)

Latent Space Analysis for Melanoma Prevention
por: Listone, Ciro, et al.
Publicado: (2025)

CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification
por: Zhang, Mingkun, et al.
Publicado: (2025)

Conditioning Latent-Space Clusters for Real-World Anomaly Classification
por: Bogdoll, Daniel, et al.
Publicado: (2023)

Learning to Watermark in the Latent Space of Generative Models
por: Rebuffi, Sylvestre-Alvise, et al.
Publicado: (2026)

Calibrating Biased Distribution in VFM-derived Latent Space via Cross-Domain Geometric Consistency
por: Ma, Yanbiao, et al.
Publicado: (2025)

Robust SAM: On the Adversarial Robustness of Vision Foundation Models
por: Long, Jiahuan, et al.
Publicado: (2025)

Reasoning in the Dark: Interleaved Vision-Text Reasoning in Latent Space
por: Chen, Chao, et al.
Publicado: (2025)

GMapLatent: Geometric Mapping in Latent Space
por: Zeng, Wei, et al.
Publicado: (2025)

Robust Latent Matters: Boosting Image Generation with Sampling Error Synthesis
por: Qiu, Kai, et al.
Publicado: (2025)

Cluster and Predict Latent Patches for Improved Masked Image Modeling
por: Darcet, Timothée, et al.
Publicado: (2025)

Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models
por: Zhou, Andy, et al.
Publicado: (2023)

Color encoding in Latent Space of Stable Diffusion Models
por: Arias, Guillem, et al.
Publicado: (2025)

MC-LLaVA: Multi-Concept Personalized Vision-Language Model
por: An, Ruichuan, et al.
Publicado: (2025)

Steal Now and Attack Later: Evaluating Robustness of Object Detection against Black-box Adversarial Attacks
por: Chen, Erh-Chung, et al.
Publicado: (2024)

MC-LLaVA: Multi-Concept Personalized Vision-Language Model
por: An, Ruichuan, et al.
Publicado: (2024)

ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning
por: Huang, Chi-Pin, et al.
Publicado: (2025)

DC-AE 1.5: Accelerating Diffusion Model Convergence with Structured Latent Space
por: Chen, Junyu, et al.
Publicado: (2025)

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation
por: Tang, Jyun-Ze, et al.
Publicado: (2025)

CoDA: Exploring Chain-of-Distribution Attacks and Post-Hoc Token-Space Repair for Medical Vision-Language Models
por: Chen, Xiang, et al.
Publicado: (2026)

Text-to-CT Generation via 3D Latent Diffusion Model with Contrastive Vision-Language Pretraining
por: Molino, Daniele, et al.
Publicado: (2025)

Fast-ThinkAct: Efficient Vision-Language-Action Reasoning via Verbalizable Latent Planning
por: Huang, Chi-Pin, et al.
Publicado: (2026)

DocShaDiffusion: Diffusion Model in Latent Space for Document Image Shadow Removal
por: Liu, Wenjie, et al.
Publicado: (2025)

Diffusion Model in Latent Space for Medical Image Segmentation Task
por: Ngoc, Huynh Trinh, et al.
Publicado: (2025)

Learning Vision-Language-Action World Models for Autonomous Driving
por: Wang, Guoqing, et al.
Publicado: (2026)

Latent Anomaly Knowledge Excavation: Unveiling Sparse Sensitive Neurons in Vision-Language Models
por: Li, Shaotian, et al.
Publicado: (2026)

Bias Detection and Rotation-Robustness Mitigation in Vision-Language Models and Generative Image Models
por: Mithila, Tarannum
Publicado: (2026)

LVDrive: Latent Visual Representation Enhanced Vision-Language-Action Autonomous Driving Model
por: Mei, Xiaodong, et al.
Publicado: (2026)

Compress3D: a Compressed Latent Space for 3D Generation from a Single Image
por: Zhang, Bowen, et al.
Publicado: (2024)

Imbalance in Balance: Online Concept Balancing in Generation Models
por: Shi, Yukai, et al.
Publicado: (2025)

VisMem: Latent Vision Memory Unlocks Potential of Vision-Language Models
por: Yu, Xinlei, et al.
Publicado: (2025)

Reducing Hallucinations in Vision-Language Models via Latent Space Steering
por: Liu, Sheng, et al.
Publicado: (2024)

FAGER: Factually Grounded Evaluation and Refinement of Text-to-Image Models
por: Lim, Youngsun, et al.
Publicado: (2026)

Probing Visual Concepts in Lightweight Vision-Language Models for Automated Driving
por: Theodoridis, Nikos, et al.
Publicado: (2026)