Cover Image

Robust image representations with counterfactual contrastive learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Roschewitz, Mélanie, Ribeiro, Fabio De Sousa, Xia, Tian, Khara, Galvin, Glocker, Ben
Format:	Preprint
Published:	2024
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

Counterfactual contrastive learning: robust representations via causal image synthesis
by: Roschewitz, Melanie, et al.
Published: (2024)

Mitigating attribute amplification in counterfactual image generation
by: Xia, Tian, et al.
Published: (2024)

Where are we with calibration under dataset shift in image classification?
by: Roschewitz, Mélanie, et al.
Published: (2025)

Automatic dataset shift identification to support safe deployment of medical imaging AI
by: Roschewitz, Mélanie, et al.
Published: (2024)

CF-Seg: Counterfactuals meet Segmentation
by: Mehta, Raghav, et al.
Published: (2025)

Distance Matters For Improving Performance Estimation Under Covariate Shift
by: Roschewitz, Mélanie, et al.
Published: (2023)

Counterfactual Stress Testing for Image Classification Models
by: Stammel, Moritz, et al.
Published: (2026)

Diffusion Counterfactual Generation with Semantic Abduction
by: Rasal, Rajat, et al.
Published: (2025)

Factored Classifier-Free Guidance
by: Xia, Tian, et al.
Published: (2025)

Pixel-level Counterfactual Contrastive Learning for Medical Image Segmentation
by: Lafargue-Hauret, Marceau, et al.
Published: (2026)

Radio-opaque artefacts in digital mammography: automatic detection and analysis of downstream effects
by: Schueppert, Amelia, et al.
Published: (2024)

Latent Causal Modeling for 3D Brain MRI Counterfactuals
by: Peng, Wei, et al.
Published: (2024)

Grounded Object Centric Learning
by: Kori, Avinash, et al.
Published: (2023)

Flow Stochastic Segmentation Networks
by: Ribeiro, Fabio De Sousa, et al.
Published: (2025)

Segmentor-Guided Counterfactual Fine-Tuning for Locally Coherent and Targeted Image Synthesis
by: Xia, Tian, et al.
Published: (2025)

Positional Segmentor-Guided Counterfactual Fine-Tuning for Spatially Localized Image Synthesis
by: Xia, Tian, et al.
Published: (2026)

Demystifying Variational Diffusion Models
by: Ribeiro, Fabio De Sousa, et al.
Published: (2024)

Transparent Visual Reasoning via Object-Centric Agent Collaboration
by: Teoh, Benjamin, et al.
Published: (2025)

Exploring the interplay of label bias with subgroup size and separability: A case study in mammographic density classification
by: Stanley, Emma A. M., et al.
Published: (2025)

Causal Representation Learning with Observational Grouping for CXR Classification
by: Rasal, Rajat, et al.
Published: (2025)

Leveraging counterfactual concepts for debugging and improving CNN model performance
by: Tariq, Syed Ali, et al.
Published: (2025)

Reproducible scaling laws for contrastive language-image learning
by: Cherti, Mehdi, et al.
Published: (2022)

RO-Bench: Large-scale robustness evaluation of MLLMs with text-driven counterfactual videos
by: Yang, Zixi, et al.
Published: (2025)

Incorporating simulated spatial context information improves the effectiveness of contrastive learning models
by: Zhu, Lizhen, et al.
Published: (2024)

SemPPL: Predicting pseudo-labels for better contrastive representations
by: Bošnjak, Matko, et al.
Published: (2023)

Breast tumor classification based on self-supervised contrastive learning from ultrasound videos
by: Tang, Yunxin, et al.
Published: (2024)

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion
by: Tian, Jiayi, et al.
Published: (2026)

Evaluating alignment between humans and neural network representations in image-based learning tasks
by: Demircan, Can, et al.
Published: (2023)

Application of deep learning techniques in non-contrast computed tomography pulmonary angiogram for pulmonary embolism diagnosis
by: Ting, I-Hsien, et al.
Published: (2026)

Self-supervised vision-langage alignment of deep learning representations for bone X-rays analysis
by: Englebert, Alexandre, et al.
Published: (2024)

Disentangled representations of microscopy images
by: Dapueto, Jacopo, et al.
Published: (2025)

A dual contrastive framework
by: Sun, Yuan, et al.
Published: (2024)

What to align in multimodal contrastive learning?
by: Dufumier, Benoit, et al.
Published: (2024)

Revisiting the Robust Generalization of Adversarial Prompt Tuning
by: Yang, Fan, et al.
Published: (2024)

Robust Vision-Based Runway Detection through Conformal Prediction and Conformal mAP
by: Zouzou, Alya, et al.
Published: (2025)

Deep transfer learning for image classification: a survey
by: Plested, Jo, et al.
Published: (2022)

Hybrid operator learning of wave scattering maps in high-contrast media
by: Balaji, Advait, et al.
Published: (2026)

Multi-object event graph representation learning for Video Question Answering
by: Wang, Yanan, et al.
Published: (2024)

Self-learned representation-guided latent diffusion model for breast cancer classification in deep ultraviolet whole surface images
by: Afshin, Pouya, et al.
Published: (2026)

FedDropoutAvg: Generalizable federated learning for histopathology image classification
by: Gunesli, Gozde N., et al.
Published: (2021)