Model Guidance via Explanations Turns Image Classifiers into Segmentation Models
Fuente:
arXiv
Saved in:
| Main Authors: | Yu, Xiaoyan, Franzen, Jannik, Samek, Wojciech, Höhne, Marina M. -C., Kainmueller, Dagmar |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SelfAdapt: Unsupervised Domain Adaptation of Cell Segmentation Models
by: Reith, Fabian H., et al.
Published: (2025)
by: Reith, Fabian H., et al.
Published: (2025)
Unsupervised Semantic Segmentation Facilitates Model Understanding
by: Yu, Xiaoyan, et al.
Published: (2026)
by: Yu, Xiaoyan, et al.
Published: (2026)
Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantification
by: Franzen, Jannik, et al.
Published: (2024)
by: Franzen, Jannik, et al.
Published: (2024)
PhenoBench: A Comprehensive Benchmark for Cell Phenotyping
by: Winklmayr, Claudia, et al.
Published: (2025)
by: Winklmayr, Claudia, et al.
Published: (2025)
Better than Average: Spatially-Aware Aggregation of Segmentation Uncertainty Improves Downstream Performance
by: Guarino, Vanessa Emanuela, et al.
Published: (2026)
by: Guarino, Vanessa Emanuela, et al.
Published: (2026)
Understanding the (Extra-)Ordinary: Validating Deep Model Decisions with Prototypical Concept-based Explanations
by: Dreyer, Maximilian, et al.
Published: (2023)
by: Dreyer, Maximilian, et al.
Published: (2023)
Cycle-Consistent Multi-Graph Matching for Self-Supervised Annotation of C.Elegans
by: Karg, Christoph, et al.
Published: (2025)
by: Karg, Christoph, et al.
Published: (2025)
PURE: Turning Polysemantic Neurons Into Pure Features by Identifying Relevant Circuits
by: Dreyer, Maximilian, et al.
Published: (2024)
by: Dreyer, Maximilian, et al.
Published: (2024)
Segmentation-Free Guidance for Text-to-Image Diffusion Models
by: Azarian, Kambiz, et al.
Published: (2024)
by: Azarian, Kambiz, et al.
Published: (2024)
Accurate Explanation Model for Image Classifiers using Class Association Embedding
by: Xie, Ruitao, et al.
Published: (2024)
by: Xie, Ruitao, et al.
Published: (2024)
Rethinking Preference Alignment for Diffusion Models with Classifier-Free Guidance
by: Jiang, Zhou, et al.
Published: (2026)
by: Jiang, Zhou, et al.
Published: (2026)
Vesselpose: Vessel Graph Reconstruction from Learned Voxel-wise Direction Vectors in 3D Vascular Images
by: Palaniappan, Rajalakshmi, et al.
Published: (2026)
by: Palaniappan, Rajalakshmi, et al.
Published: (2026)
Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs
by: Xu, Kaiwen, et al.
Published: (2023)
by: Xu, Kaiwen, et al.
Published: (2023)
Towards Visually Explaining Statistical Tests with Applications in Biomedical Imaging
by: Javanbakhat, Masoumeh, et al.
Published: (2026)
by: Javanbakhat, Masoumeh, et al.
Published: (2026)
Reactive Model Correction: Mitigating Harm to Task-Relevant Features via Conditional Bias Suppression
by: Bareeva, Dilyara, et al.
Published: (2024)
by: Bareeva, Dilyara, et al.
Published: (2024)
CFG-Zero*: Improved Classifier-Free Guidance for Flow Matching Models
by: Fan, Weichen, et al.
Published: (2025)
by: Fan, Weichen, et al.
Published: (2025)
Ensuring Medical AI Safety: Interpretability-Driven Detection and Mitigation of Spurious Model Behavior and Associated Data
by: Pahde, Frederik, et al.
Published: (2025)
by: Pahde, Frederik, et al.
Published: (2025)
XAI-guided Insulator Anomaly Detection for Imbalanced Datasets
by: Hoefler, Maximilian Andreas, et al.
Published: (2024)
by: Hoefler, Maximilian Andreas, et al.
Published: (2024)
No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models
by: Sadat, Seyedmorteza, et al.
Published: (2024)
by: Sadat, Seyedmorteza, et al.
Published: (2024)
FaceX: Understanding Face Attribute Classifiers through Summary Model Explanations
by: Sarridis, Ioannis, et al.
Published: (2024)
by: Sarridis, Ioannis, et al.
Published: (2024)
Rethinking Oversaturation in Classifier-Free Guidance via Low Frequency
by: Song, Kaiyu, et al.
Published: (2025)
by: Song, Kaiyu, et al.
Published: (2025)
Explanations of Classifiers Enhance Medical Image Segmentation via End-to-end Pre-training
by: Chen, Jiamin, et al.
Published: (2024)
by: Chen, Jiamin, et al.
Published: (2024)
Keypoint Counting Classifiers: Turning Vision Transformers into Self-Explainable Models Without Training
by: Wickstrøm, Kristoffer, et al.
Published: (2025)
by: Wickstrøm, Kristoffer, et al.
Published: (2025)
Improving Motion in Image-to-Video Models via Adaptive Low-Pass Guidance
by: Choi, June Suk, et al.
Published: (2025)
by: Choi, June Suk, et al.
Published: (2025)
Gradient-Free Classifier Guidance for Diffusion Model Sampling
by: Shenoy, Rahul, et al.
Published: (2024)
by: Shenoy, Rahul, et al.
Published: (2024)
Classifier-free Guidance with Adaptive Scaling
by: Malarz, Dawid, et al.
Published: (2025)
by: Malarz, Dawid, et al.
Published: (2025)
Unbiased Image Synthesis via Manifold Guidance in Diffusion Models
by: Su, Xingzhe, et al.
Published: (2023)
by: Su, Xingzhe, et al.
Published: (2023)
Char-SAM: Turning Segment Anything Model into Scene Text Segmentation Annotator with Character-level Visual Prompts
by: Xie, Enze, et al.
Published: (2024)
by: Xie, Enze, et al.
Published: (2024)
Uni-Classifier: Leveraging Video Diffusion Priors for Universal Guidance Classifier
by: Zhou, Yujie, et al.
Published: (2026)
by: Zhou, Yujie, et al.
Published: (2026)
Multiple Different Black Box Explanations for Image Classifiers
by: Chockler, Hana, et al.
Published: (2023)
by: Chockler, Hana, et al.
Published: (2023)
Back to the Feature: Explaining Video Classifiers with Video Counterfactual Explanations
by: Wang, Chao, et al.
Published: (2025)
by: Wang, Chao, et al.
Published: (2025)
Towards Understanding the Mechanisms of Classifier-Free Guidance
by: Li, Xiang, et al.
Published: (2025)
by: Li, Xiang, et al.
Published: (2025)
TCFG: Tangential Damping Classifier-free Guidance
by: Kwon, Mingi, et al.
Published: (2025)
by: Kwon, Mingi, et al.
Published: (2025)
Unleashing Guidance Without Classifiers for Human-Object Interaction Animation
by: Wang, Ziyin, et al.
Published: (2026)
by: Wang, Ziyin, et al.
Published: (2026)
Diffusion Classifier Guidance for Non-robust Classifiers
by: Vaeth, Philipp, et al.
Published: (2025)
by: Vaeth, Philipp, et al.
Published: (2025)
CDPDNet: Integrating Text Guidance with Hybrid Vision Encoders for Medical Image Segmentation
by: Wu, Jiong, et al.
Published: (2025)
by: Wu, Jiong, et al.
Published: (2025)
Multimodal Large Language Models as Image Classifiers
by: Kisel, Nikita, et al.
Published: (2026)
by: Kisel, Nikita, et al.
Published: (2026)
Diffusion Models without Classifier-free Guidance
by: Tang, Zhicong, et al.
Published: (2025)
by: Tang, Zhicong, et al.
Published: (2025)
Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization
by: Chang, Yuanyuan, et al.
Published: (2025)
by: Chang, Yuanyuan, et al.
Published: (2025)
SAM-EG: Segment Anything Model with Egde Guidance framework for efficient Polyp Segmentation
by: Trinh, Quoc-Huy, et al.
Published: (2024)
by: Trinh, Quoc-Huy, et al.
Published: (2024)
Similar Items
-
SelfAdapt: Unsupervised Domain Adaptation of Cell Segmentation Models
by: Reith, Fabian H., et al.
Published: (2025) -
Unsupervised Semantic Segmentation Facilitates Model Understanding
by: Yu, Xiaoyan, et al.
Published: (2026) -
Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantification
by: Franzen, Jannik, et al.
Published: (2024) -
PhenoBench: A Comprehensive Benchmark for Cell Phenotyping
by: Winklmayr, Claudia, et al.
Published: (2025) -
Better than Average: Spatially-Aware Aggregation of Segmentation Uncertainty Improves Downstream Performance
by: Guarino, Vanessa Emanuela, et al.
Published: (2026)