Saved in:
| Main Authors: | Herdt, Rudolf, Baguer, Daniel Otero |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.03422 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Smooth Deep Saliency
by: Herdt, Rudolf, et al.
Published: (2024)
by: Herdt, Rudolf, et al.
Published: (2024)
Model Stitching and Visualization How GAN Generators can Invert Networks in Real-Time
by: Herdt, Rudolf, et al.
Published: (2023)
by: Herdt, Rudolf, et al.
Published: (2023)
Visualize and Paint GAN Activations
by: Herdt, Rudolf, et al.
Published: (2024)
by: Herdt, Rudolf, et al.
Published: (2024)
Contrastive Pretraining for Visual Concept Explanations of Socioeconomic Outcomes
by: Obadic, Ivica, et al.
Published: (2024)
by: Obadic, Ivica, et al.
Published: (2024)
Reproducibility review of "Why Not Other Classes": Towards Class-Contrastive Back-Propagation Explanations
by: Eriksson, Arvid, et al.
Published: (2025)
by: Eriksson, Arvid, et al.
Published: (2025)
CE-FAM: Concept-Based Explanation via Fusion of Activation Maps
by: Kuroki, Michihiro, et al.
Published: (2025)
by: Kuroki, Michihiro, et al.
Published: (2025)
Concept-Based Explanations in Computer Vision: Where Are We and Where Could We Go?
by: Lee, Jae Hee, et al.
Published: (2024)
by: Lee, Jae Hee, et al.
Published: (2024)
Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease Diagnosis
by: Gao, Yibo, et al.
Published: (2024)
by: Gao, Yibo, et al.
Published: (2024)
Measuring the (Un)Faithfulness of Concept-Based Explanations
by: Kumar, Shubham, et al.
Published: (2025)
by: Kumar, Shubham, et al.
Published: (2025)
Contrastive Learning with Counterfactual Explanations for Radiology Report Generation
by: Li, Mingjie, et al.
Published: (2024)
by: Li, Mingjie, et al.
Published: (2024)
Fusion-CAM: Integrating Gradient and Region-Based Class Activation Maps for Robust Visual Explanations
by: Dekdegue, Hajar, et al.
Published: (2026)
by: Dekdegue, Hajar, et al.
Published: (2026)
Interpretable Zero-shot Learning with Infinite Class Concepts
by: Ye, Zihan, et al.
Published: (2025)
by: Ye, Zihan, et al.
Published: (2025)
GECKO: Gigapixel Vision-Concept Contrastive Pretraining in Histopathology
by: Kapse, Saarthak, et al.
Published: (2025)
by: Kapse, Saarthak, et al.
Published: (2025)
Salvaging the Overlooked: Leveraging Class-Aware Contrastive Learning for Multi-Class Anomaly Detection
by: Fan, Lei, et al.
Published: (2024)
by: Fan, Lei, et al.
Published: (2024)
Unsupervised Interpretable Basis Extraction for Concept-Based Visual Explanations
by: Doumanoglou, Alexandros, et al.
Published: (2023)
by: Doumanoglou, Alexandros, et al.
Published: (2023)
Looking into Concept Explanation Methods for Diabetic Retinopathy Classification
by: Storås, Andrea M., et al.
Published: (2024)
by: Storås, Andrea M., et al.
Published: (2024)
Toward Simple and Robust Contrastive Explanations for Image Classification by Leveraging Instance Similarity and Concept Relevance
by: Kaidashova, Yuliia, et al.
Published: (2025)
by: Kaidashova, Yuliia, et al.
Published: (2025)
Piece it Together: Part-Based Concepting with IP-Priors
by: Richardson, Elad, et al.
Published: (2025)
by: Richardson, Elad, et al.
Published: (2025)
Weakly Supervised Concept Learning with Class-Level Priors for Interpretable Medical Diagnosis
by: Nahiduzzaman, Md, et al.
Published: (2025)
by: Nahiduzzaman, Md, et al.
Published: (2025)
Toward Long-Tailed Online Anomaly Detection through Class-Agnostic Concepts
by: Yang, Chiao-An, et al.
Published: (2025)
by: Yang, Chiao-An, et al.
Published: (2025)
Composing Novel Classes: A Concept-Driven Approach to Generalized Category Discovery
by: Zhang, Chuyu, et al.
Published: (2024)
by: Zhang, Chuyu, et al.
Published: (2024)
CoCoIns: Consistent Subject Generation via Contrastive Instantiated Concepts
by: Hsin-Ying, Lee, et al.
Published: (2025)
by: Hsin-Ying, Lee, et al.
Published: (2025)
Accurate Explanation Model for Image Classifiers using Class Association Embedding
by: Xie, Ruitao, et al.
Published: (2024)
by: Xie, Ruitao, et al.
Published: (2024)
A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets
by: Mildenberger, David, et al.
Published: (2025)
by: Mildenberger, David, et al.
Published: (2025)
From Colors to Classes: Emergence of Concepts in Vision Transformers
by: Dorszewski, Teresa, et al.
Published: (2025)
by: Dorszewski, Teresa, et al.
Published: (2025)
Adversarial Robustness in Zero-Shot Learning:An Empirical Study on Class and Concept-Level Vulnerabilities
by: Peng, Zhiyuan, et al.
Published: (2025)
by: Peng, Zhiyuan, et al.
Published: (2025)
DiffClass: Diffusion-Based Class Incremental Learning
by: Meng, Zichong, et al.
Published: (2024)
by: Meng, Zichong, et al.
Published: (2024)
Test-time Contrastive Concepts for Open-world Semantic Segmentation with Vision-Language Models
by: Wysoczańska, Monika, et al.
Published: (2024)
by: Wysoczańska, Monika, et al.
Published: (2024)
Visual Evaluative AI: A Hypothesis-Driven Tool with Concept-Based Explanations and Weight of Evidence
by: Le, Thao, et al.
Published: (2024)
by: Le, Thao, et al.
Published: (2024)
DEAL: Disentangle and Localize Concept-level Explanations for VLMs
by: Li, Tang, et al.
Published: (2024)
by: Li, Tang, et al.
Published: (2024)
Enriching Knowledge Distillation with Intra-Class Contrastive Learning
by: Yuan, Hua, et al.
Published: (2025)
by: Yuan, Hua, et al.
Published: (2025)
Efficient and Concise Explanations for Object Detection with Gaussian-Class Activation Mapping Explainer
by: Nguyen, Quoc Khanh, et al.
Published: (2024)
by: Nguyen, Quoc Khanh, et al.
Published: (2024)
VOICE: Variance of Induced Contrastive Explanations to quantify Uncertainty in Neural Network Interpretability
by: Prabhushankar, Mohit, et al.
Published: (2024)
by: Prabhushankar, Mohit, et al.
Published: (2024)
On the Domain Robustness of Contrastive Vision-Language Models
by: Koddenbrock, Mario, et al.
Published: (2025)
by: Koddenbrock, Mario, et al.
Published: (2025)
Class-Aware Prototype Learning with Negative Contrast for Test-Time Adaptation of Vision-Language Models
by: Qiao, Xiaozhen, et al.
Published: (2025)
by: Qiao, Xiaozhen, et al.
Published: (2025)
Class Prototypes based Contrastive Learning for Classifying Multi-Label and Fine-Grained Educational Videos
by: Gupta, Rohit, et al.
Published: (2025)
by: Gupta, Rohit, et al.
Published: (2025)
Consistency-Guided Asynchronous Contrastive Tuning for Few-Shot Class-Incremental Tuning of Foundation Models
by: Roy, Shuvendu, et al.
Published: (2024)
by: Roy, Shuvendu, et al.
Published: (2024)
Intra-Class Subdivision for Pixel Contrastive Learning: Application to Semi-supervised Cardiac Image Segmentation
by: Zhao, Jiajun, et al.
Published: (2026)
by: Zhao, Jiajun, et al.
Published: (2026)
Fine-Grained Representation Learning via Multi-Level Contrastive Learning without Class Priors
by: Jiang, Houwang, et al.
Published: (2024)
by: Jiang, Houwang, et al.
Published: (2024)
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)
Similar Items
-
Smooth Deep Saliency
by: Herdt, Rudolf, et al.
Published: (2024) -
Model Stitching and Visualization How GAN Generators can Invert Networks in Real-Time
by: Herdt, Rudolf, et al.
Published: (2023) -
Visualize and Paint GAN Activations
by: Herdt, Rudolf, et al.
Published: (2024) -
Contrastive Pretraining for Visual Concept Explanations of Socioeconomic Outcomes
by: Obadic, Ivica, et al.
Published: (2024) -
Reproducibility review of "Why Not Other Classes": Towards Class-Contrastive Back-Propagation Explanations
by: Eriksson, Arvid, et al.
Published: (2025)