Saved in:
| Main Authors: | Scholz, Stefan, Weidmann, Nils B., Steinert-Threlkeld, Zachary C., Keremoğlu, Eda, Goldlücke, Bastian |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2407.03786 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Civilian behavior on social media during civil war
by: Anita R. Gohdes, et al.
Published: (2024)
by: Anita R. Gohdes, et al.
Published: (2024)
Using Computer Vision for Skin Disease Diagnosis in Bangladesh Enhancing Interpretability and Transparency in Deep Learning Models for Skin Cancer Classification
by: Islam, Rafiul, et al.
Published: (2025)
by: Islam, Rafiul, et al.
Published: (2025)
Knowledge-Aware Neuron Interpretation for Scene Classification
by: Guan, Yong, et al.
Published: (2024)
by: Guan, Yong, et al.
Published: (2024)
Towards Improved Cervical Cancer Screening: Vision Transformer-Based Classification and Interpretability
by: Nguyen, Khoa Tuan, et al.
Published: (2025)
by: Nguyen, Khoa Tuan, et al.
Published: (2025)
Towards a Transparent and Interpretable AI Model for Medical Image Classifications
by: Wen, Binbin, et al.
Published: (2025)
by: Wen, Binbin, et al.
Published: (2025)
Improving Classification of Occluded Objects through Scene Context
by: King, Courtney M., et al.
Published: (2025)
by: King, Courtney M., et al.
Published: (2025)
Generative Learning of Differentiable Object Models for Compositional Interpretation of Complex Scenes
by: Nowinowski, Antoni, et al.
Published: (2025)
by: Nowinowski, Antoni, et al.
Published: (2025)
Beyond the Mud: Datasets and Benchmarks for Computer Vision in Off-Road Racing
by: Tyo, Jacob, et al.
Published: (2024)
by: Tyo, Jacob, et al.
Published: (2024)
Interpretable Vision Transformers in Image Classification via SVDA
by: Arampatzakis, Vasileios, et al.
Published: (2026)
by: Arampatzakis, Vasileios, et al.
Published: (2026)
Vision Transformers and Convolutional Neural Networks for Land Use Scene Classification
by: Kulkarni, Arun D.
Published: (2026)
by: Kulkarni, Arun D.
Published: (2026)
When Efficient Communication Explains Convexity
by: Ranjan, Ashvin, et al.
Published: (2026)
by: Ranjan, Ashvin, et al.
Published: (2026)
Interpretable Image Classification with Adaptive Prototype-based Vision Transformers
by: Ma, Chiyu, et al.
Published: (2024)
by: Ma, Chiyu, et al.
Published: (2024)
Hierarchical Vision Transformer with Prototypes for Interpretable Medical Image Classification
by: Gallée, Luisa, et al.
Published: (2025)
by: Gallée, Luisa, et al.
Published: (2025)
Vision Transformer for Robust Occluded Person Reidentification in Complex Surveillance Scenes
by: Li, Bo, et al.
Published: (2025)
by: Li, Bo, et al.
Published: (2025)
DiffSF: Diffusion Models for Scene Flow Estimation
by: Zhang, Yushan, et al.
Published: (2024)
by: Zhang, Yushan, et al.
Published: (2024)
Improving Acoustic Scene Classification with City Features
by: Cai, Yiqiang, et al.
Published: (2025)
by: Cai, Yiqiang, et al.
Published: (2025)
[Re] Improving Interpretation Faithfulness for Vision Transformers
by: Kurek, Izabela, et al.
Published: (2025)
by: Kurek, Izabela, et al.
Published: (2025)
Enhancing Remote Sensing Vision-Language Models for Zero-Shot Scene Classification
by: Khoury, Karim El, et al.
Published: (2024)
by: Khoury, Karim El, et al.
Published: (2024)
Improving Interpretation Faithfulness for Vision Transformers
by: Hu, Lijie, et al.
Published: (2023)
by: Hu, Lijie, et al.
Published: (2023)
Scale Alone Does not Improve Mechanistic Interpretability in Vision Models
by: Zimmermann, Roland S., et al.
Published: (2023)
by: Zimmermann, Roland S., et al.
Published: (2023)
Multi-Label Stereo Matching for Transparent Scene Depth Estimation
by: Liu, Zhidan, et al.
Published: (2025)
by: Liu, Zhidan, et al.
Published: (2025)
Leveraging Retrieval-Augmented Tags for Large Vision-Language Understanding in Complex Scenes
by: Rivera, Antonio Carlos, et al.
Published: (2024)
by: Rivera, Antonio Carlos, et al.
Published: (2024)
In-Domain Self-Supervised Learning Improves Remote Sensing Image Scene Classification
by: Dimitrovski, Ivica, et al.
Published: (2023)
by: Dimitrovski, Ivica, et al.
Published: (2023)
Empowering Prior to Court Legal Analysis: A Transparent and Accessible Dataset for Defensive Statement Classification and Interpretation
by: Spyridis, Yannis, et al.
Published: (2024)
by: Spyridis, Yannis, et al.
Published: (2024)
DeepHistoViT: An Interpretable Vision Transformer Framework for Histopathological Cancer Classification
by: Mosalpuri, Ravi, et al.
Published: (2026)
by: Mosalpuri, Ravi, et al.
Published: (2026)
3VL: Using Trees to Improve Vision-Language Models' Interpretability
by: Yellinek, Nir, et al.
Published: (2023)
by: Yellinek, Nir, et al.
Published: (2023)
Scene Generation at Absolute Scale: Utilizing Semantic and Geometric Guidance From Text for Accurate and Interpretable 3D Indoor Scene Generation
by: Ainetter, Stefan, et al.
Published: (2026)
by: Ainetter, Stefan, et al.
Published: (2026)
GLINT: Modeling Scene-Scale Transparency via Gaussian Radiance Transport
by: Na, Youngju, et al.
Published: (2026)
by: Na, Youngju, et al.
Published: (2026)
Towards Understanding Visual Grounding in Visual Language Models
by: Pantazopoulos, Georgios, et al.
Published: (2025)
by: Pantazopoulos, Georgios, et al.
Published: (2025)
Improved EATFormer: A Vision Transformer for Medical Image Classification
by: Shisu, Yulong, et al.
Published: (2024)
by: Shisu, Yulong, et al.
Published: (2024)
Interpretable Vision-Language Survival Analysis with Ordinal Inductive Bias for Computational Pathology
by: Liu, Pei, et al.
Published: (2024)
by: Liu, Pei, et al.
Published: (2024)
Interpreting Low-level Vision Models with Causal Effect Maps
by: Hu, Jinfan, et al.
Published: (2024)
by: Hu, Jinfan, et al.
Published: (2024)
Volume Transformer: Revisiting Vanilla Transformers for 3D Scene Understanding
by: Yilmaz, Kadir, et al.
Published: (2026)
by: Yilmaz, Kadir, et al.
Published: (2026)
Two-Stream Interactive Joint Learning of Scene Parsing and Geometric Vision Tasks
by: Tang, Guanfeng, et al.
Published: (2026)
by: Tang, Guanfeng, et al.
Published: (2026)
TopoOR: A Unified Topological Scene Representation for the Operating Room
by: Wang, Tony Danjun, et al.
Published: (2026)
by: Wang, Tony Danjun, et al.
Published: (2026)
Learning Interpretable Queries for Explainable Image Classification with Information Pursuit
by: Kolek, Stefan, et al.
Published: (2023)
by: Kolek, Stefan, et al.
Published: (2023)
Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification
by: Addepalli, Sravanti, et al.
Published: (2023)
by: Addepalli, Sravanti, et al.
Published: (2023)
ClaudesLens: Uncertainty Quantification in Computer Vision Models
by: Shaar, Mohamad Al, et al.
Published: (2024)
by: Shaar, Mohamad Al, et al.
Published: (2024)
Leveraging Vision-Language Models for Open-Vocabulary Instance Segmentation and Tracking
by: Pätzold, Bastian, et al.
Published: (2025)
by: Pätzold, Bastian, et al.
Published: (2025)
Automatic Identification and Description of Jewelry Through Computer Vision and Neural Networks for Translators and Interpreters
by: Alcalde-Llergo, Jose Manuel, et al.
Published: (2025)
by: Alcalde-Llergo, Jose Manuel, et al.
Published: (2025)
Similar Items
-
Civilian behavior on social media during civil war
by: Anita R. Gohdes, et al.
Published: (2024) -
Using Computer Vision for Skin Disease Diagnosis in Bangladesh Enhancing Interpretability and Transparency in Deep Learning Models for Skin Cancer Classification
by: Islam, Rafiul, et al.
Published: (2025) -
Knowledge-Aware Neuron Interpretation for Scene Classification
by: Guan, Yong, et al.
Published: (2024) -
Towards Improved Cervical Cancer Screening: Vision Transformer-Based Classification and Interpretability
by: Nguyen, Khoa Tuan, et al.
Published: (2025) -
Towards a Transparent and Interpretable AI Model for Medical Image Classifications
by: Wen, Binbin, et al.
Published: (2025)