Cover Image

Leveraging generative models to characterize the failure conditions of image classifiers

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	LeCoz, Adrien, Herbin, Stéphane, Adjed, Faouzi
Format:	Preprint
Published:	2024
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

Explaining an image classifier with a generative model conditioned by uncertainty
by: LeCoz, Adrien, et al.
Published: (2024)

Efficient Exploration of Image Classifier Failures with Bayesian Optimization and Text-to-Image Models
by: LeCoz, Adrien, et al.
Published: (2024)

Confidence Calibration of Classifiers with Many Classes
by: LeCoz, Adrien, et al.
Published: (2024)

In-context learning enables multimodal large language models to classify cancer pathology images
by: Ferber, Dyke, et al.
Published: (2024)

ImagenHub: Standardizing the evaluation of conditional image generation models
by: Ku, Max, et al.
Published: (2023)

Learned representation-guided diffusion models for large-image generation
by: Graikos, Alexandros, et al.
Published: (2023)

Consistency-diversity-realism Pareto fronts of conditional image generative models
by: Astolfi, Pietro, et al.
Published: (2024)

When are radiology reports useful for training medical image classifiers?
by: Bergström, Herman, et al.
Published: (2025)

STAR: Scale-wise Text-conditioned AutoRegressive image generation
by: Ma, Xiaoxiao, et al.
Published: (2024)

IR image databases generation under target intrinsic thermal variability constraints
by: Gilles, Jerome, et al.
Published: (2024)

Leveraging feature communication in federated learning for remote sensing image classification
by: Duong, Anh-Kiet, et al.
Published: (2024)

Cardiac fat segmentation using computed tomography and an image-to-image conditional generative adversarial neural network
by: da Silva, Guilherme Santos, et al.
Published: (2026)

Dynamic watermarks in images generated by diffusion models
by: Chen, Yunzhuo, et al.
Published: (2025)

Are generative models fair? A study of racial bias in dermatological image generation
by: López-Pérez, Miguel, et al.
Published: (2025)

Elucidating the design space of language models for image generation
by: Liu, Xuantong, et al.
Published: (2024)

An active learning model to classify animal species in Hong Kong
by: Lamb, Gareth, et al.
Published: (2024)

Explaining raw data complexity to improve satellite onboard processing
by: Dorise, Adrien, et al.
Published: (2025)

Intriguing properties of generative classifiers
by: Jaini, Priyank, et al.
Published: (2023)

SelfEval: Leveraging the discriminative nature of generative models for evaluation
by: Rambhatla, Sai Saketh, et al.
Published: (2023)

Leveraging image captions for selective whole slide image annotation
by: Qiu, Jingna, et al.
Published: (2024)

Dark Miner: Defend against undesirable generation for text-to-image diffusion models
by: Meng, Zheling, et al.
Published: (2024)

Mask-guided cross-image attention for zero-shot in-silico histopathologic image generation with a diffusion model
by: Winter, Dominik, et al.
Published: (2024)

Feature-guided score diffusion for sampling conditional densities
by: Kadkhodaie, Zahra, et al.
Published: (2024)

Disentangling representations of retinal images with generative models
by: Müller, Sarah, et al.
Published: (2024)

VibrantLeaves: A principled parametric image generator for training deep restoration models
by: Achddou, Raphael, et al.
Published: (2025)

A hierarchical loss and its problems when classifying non-hierarchically
by: Wu, Cinna, et al.
Published: (2017)

Exploring text-to-image generation for historical document image retrieval
by: Cote, Melissa, et al.
Published: (2025)

Unconditional CNN denoisers contain sparse semantic representation of images
by: Kadkhodaie, Zahra, et al.
Published: (2025)

Have we unified image generation and understanding yet? An empirical study of GPT-4o's image generation ability
by: Li, Ning, et al.
Published: (2025)

Trainwreck: A damaging adversarial attack on image classifiers
by: Zahálka, Jan
Published: (2023)

Spatio-temporal neural distance fields for conditional generative modeling of the heart
by: Sørensen, Kristine, et al.
Published: (2024)

Learning and Leveraging World Models in Visual Representation Learning
by: Garrido, Quentin, et al.
Published: (2024)

Architecture inside the mirage: evaluating generative image models on architectural style, elements, and typologies
by: Magrill, Jamie, et al.
Published: (2026)

On Discriminative vs. Generative classifiers: Rethinking MLLMs for Action Understanding
by: Pang, Zhanzhong, et al.
Published: (2026)

Are handcrafted filters helpful for attributing AI-generated images?
by: Li, Jialiang, et al.
Published: (2024)

Generative diffusion models for agricultural AI: plant image generation, indoor-to-outdoor translation, and expert preference alignment
by: Tan, Da, et al.
Published: (2025)

Efficient single image non-uniformity correction algorithm
by: Tendero, Yohann, et al.
Published: (2024)

SWAG: Splatting in the Wild images with Appearance-conditioned Gaussians
by: Dahmani, Hiba, et al.
Published: (2024)

LEAST: "Local" text-conditioned image style transfer
by: Singh, Silky, et al.
Published: (2024)

High-resolution efficient image generation from WiFi CSI using a pretrained latent diffusion model
by: Ramesh, Eshan, et al.
Published: (2025)