Imagen de Portada

SCAN: Visual Explanations with Self-Confidence and Analysis Networks

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Lee, Gwanghee, Jeong, Sungyoon, Jhang, Kyoungson
Formato:	Preprint
Publicado:	2026
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Parallel Tempering Initial Sampling in Inference-Time Reward Alignment
por: Oh, Myeongjun, et al.
Publicado: (2026)

Visual Style Prompting with Swapping Self-Attention
por: Jeong, Jaeseok, et al.
Publicado: (2024)

SCAN: Bootstrapping Contrastive Pre-training for Data Efficiency
por: Guo, Yangyang, et al.
Publicado: (2024)

From Visual Explanations to Counterfactual Explanations with Latent Diffusion
por: Luu, Tung, et al.
Publicado: (2025)

FaithSCAN: Model-Driven Single-Pass Hallucination Detection for Faithful Visual Question Answering
por: Tong, Chaodong, et al.
Publicado: (2026)

Sampling Matters in Explanations: Towards Trustworthy Attribution Analysis Building Block in Visual Models through Maximizing Explanation Certainty
por: Luo, Róisín, et al.
Publicado: (2025)

Faithful Counterfactual Visual Explanations (FCVE)
por: Khan, Bismillah, et al.
Publicado: (2025)

Self-training Room Layout Estimation via Geometry-aware Ray-casting
por: Solarte, Bolivar, et al.
Publicado: (2024)

Discovering and Mitigating Visual Biases through Keyword Explanation
por: Kim, Younghyun, et al.
Publicado: (2023)

Attention Lattice Adapter: Visual Explanation Generation for Visual Foundation Model
por: Hirano, Shinnosuke, et al.
Publicado: (2025)

CodeSCAN: ScreenCast ANalysis for Video Programming Tutorials
por: Naumann, Alexander, et al.
Publicado: (2024)

Contrastive Pretraining for Visual Concept Explanations of Socioeconomic Outcomes
por: Obadic, Ivica, et al.
Publicado: (2024)

Towards Self-Explainable Document Visual Question Answering with Chain-of-Explanation Predictions
por: Indrehus, Kjetil, et al.
Publicado: (2026)

Attention Guided CAM: Visual Explanations of Vision Transformer Guided by Self-Attention
por: Leem, Saebom, et al.
Publicado: (2024)

OV-SCAN: Semantically Consistent Alignment for Novel Object Discovery in Open-Vocabulary 3D Object Detection
por: Chow, Adrian, et al.
Publicado: (2025)

Saliency-Bench: A Comprehensive Benchmark for Evaluating Visual Explanations
por: Zhang, Yifei, et al.
Publicado: (2023)

Grad-ECLIP: Gradient-based Visual and Textual Explanations for CLIP
por: Zhao, Chenyang, et al.
Publicado: (2025)

ChartQA-X: Generating Explanations for Visual Chart Reasoning
por: Hegde, Shamanthak, et al.
Publicado: (2025)

Counterfactual Visual Explanation via Causally-Guided Adversarial Steering
por: Qiao, Yiran, et al.
Publicado: (2025)

Visual Explanation via Similar Feature Activation for Metric Learning
por: Liao, Yi, et al.
Publicado: (2025)

Modeling Stereo-Confidence Out of the End-to-End Stereo-Matching Network via Disparity Plane Sweep
por: Lee, Jae Young, et al.
Publicado: (2024)

Less is More: Discovering Concise Network Explanations
por: Kondapaneni, Neehar, et al.
Publicado: (2024)

Does Visual Token Pruning Improve Calibration? An Empirical Study on Confidence in MLLMs
por: Tan, Kaizhen
Publicado: (2026)

Confident Naturalness Explanation (CNE): A Framework to Explain and Assess Patterns Forming Naturalness
por: Emam, Ahmed, et al.
Publicado: (2023)

GazeXplain: Learning to Predict Natural Language Explanations of Visual Scanpaths
por: Chen, Xianyu, et al.
Publicado: (2024)

EmoCaliber: Advancing Reliable Visual Emotion Comprehension via Confidence Verbalization and Calibration
por: Wu, Daiqing, et al.
Publicado: (2025)

On The Coherence of Quantitative Evaluation of Visual Explanations
por: Vandersmissen, Benjamin, et al.
Publicado: (2023)

Improving Network Interpretability via Explanation Consistency Evaluation
por: Wu, Hefeng, et al.
Publicado: (2024)

Automatic Classification and Segmentation of Tunnel Cracks Based on Deep Learning and Visual Explanations
por: Feng, Yong, et al.
Publicado: (2025)

VERIFY: A Benchmark of Visual Explanation and Reasoning for Investigating Multimodal Reasoning Fidelity
por: Bi, Jing, et al.
Publicado: (2025)

DocVCE: Diffusion-based Visual Counterfactual Explanations for Document Image Classification
por: Saifullah, Saifullah, et al.
Publicado: (2025)

COIN: Confidence Score-Guided Distillation for Annotation-Free Cell Segmentation
por: Jo, Sanghyun, et al.
Publicado: (2025)

StyleKeeper: Prevent Content Leakage using Negative Visual Query Guidance
por: Jeong, Jaeseok, et al.
Publicado: (2025)

Iterative Self-Improvement of Vision Language Models for Image Scoring and Self-Explanation
por: Tanji, Naoto, et al.
Publicado: (2025)

SparrowVQE: Visual Question Explanation for Course Content Understanding
por: Li, Jialu, et al.
Publicado: (2024)

uLayout: Unified Room Layout Estimation for Perspective and Panoramic Images
por: Lee, Jonathan, et al.
Publicado: (2025)

Co-Me: Confidence-Guided Token Merging for Visual Geometric Transformers
por: Chen, Yutian, et al.
Publicado: (2025)

EPIC: Explanation of Pretrained Image Classification Networks via Prototype
por: Borycki, Piotr, et al.
Publicado: (2025)

MaskDiME: Adaptive Masked Diffusion for Precise and Efficient Visual Counterfactual Explanations
por: Guo, Changlu, et al.
Publicado: (2026)

Robustness of Visual Explanations to Common Data Augmentation
por: Tětková, Lenka, et al.
Publicado: (2023)