Cover Image

B-cos Alignment for Inherently Interpretable CNNs and Vision Transformers

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Böhle, Moritz, Singh, Navdeeppal, Fritz, Mario, Schiele, Bernt
Format:	Preprint
Published:	2023
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Optimising for Interpretability: Convolutional Dynamic Alignment Networks
by: Böhle, Moritz, et al.
Published: (2021)

B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable
by: Arya, Shreyash, et al.
Published: (2024)

Towards Better Understanding Attribution Methods
by: Rao, Sukrut, et al.
Published: (2022)

Better Understanding Differences in Attribution Methods via Systematic Evaluations
by: Rao, Sukrut, et al.
Published: (2023)

How to Probe: Simple Yet Effective Techniques for Improving Post-hoc Explanations
by: Gairola, Siddhartha, et al.
Published: (2025)

AIM: Amending Inherent Interpretability via Self-Supervised Masking
by: Alshami, Eyad, et al.
Published: (2025)

Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery
by: Rao, Sukrut, et al.
Published: (2024)

Studying How to Efficiently and Effectively Guide Models with Explanations
by: Rao, Sukrut, et al.
Published: (2023)

Good Teachers Explain: Explanation-Enhanced Knowledge Distillation
by: Parchami-Araghi, Amin, et al.
Published: (2024)

Interpretable Diffusion Models with B-cos Networks
by: Bernold, Nicola, et al.
Published: (2025)

Convolutional Dynamic Alignment Networks for Interpretable Classifications
by: Böhle, Moritz, et al.
Published: (2021)

VITAL: More Understandable Feature Visualization through Distribution Alignment and Relevant Information Flow
by: Gorgun, Ada, et al.
Published: (2025)

MTA-CLIP: Language-Guided Semantic Segmentation with Mask-Text Alignment
by: Das, Anurag, et al.
Published: (2024)

Language-Unlocked ViT (LUViT): Empowering Self-Supervised Vision Transformers with LLMs
by: Kuzucu, Selim, et al.
Published: (2025)

Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing
by: Anani, Alaa, et al.
Published: (2024)

Interpretable 3D Neural Object Volumes for Robust Conceptual Reasoning
by: Pham, Nhi, et al.
Published: (2025)

OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning
by: Ahmed, Noor, et al.
Published: (2024)

DWDN: Deep Wiener Deconvolution Network for Non-Blind Image Deblurring
by: Dong, Jiangxin, et al.
Published: (2021)

Pixel-level Certified Explanations via Randomized Smoothing
by: Anani, Alaa, et al.
Published: (2025)

GiT: Towards Generalist Vision Transformer through Universal Language Interface
by: Wang, Haiyang, et al.
Published: (2024)

Certified Circuits: Stability Guarantees for Mechanistic Circuits
by: Anani, Alaa, et al.
Published: (2026)

HowToCaption: Prompting LLMs to Transform Video Annotations at Scale
by: Shvetsova, Nina, et al.
Published: (2023)

Interpretability Without Tradeoffs: Disentangling Polysemanticity At Equal Predictive Performance
by: Bağcı, Doğukan, et al.
Published: (2026)

MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and Guided Intention Querying
by: Shi, Shaoshuai, et al.
Published: (2023)

ClipTTT: CLIP-Guided Test-Time Training Helps LVLMs See Better
by: Nath, Mriganka, et al.
Published: (2026)

X-SiT: Inherently Interpretable Surface Vision Transformers for Dementia Diagnosis
by: Bongratz, Fabian, et al.
Published: (2025)

SimNP: Learning Self-Similarity Priors Between Neural Points
by: Wewer, Christopher, et al.
Published: (2023)

Sp2360: Sparse-view 360 Scene Reconstruction using Cascaded 2D Diffusion Priors
by: Paul, Soumava, et al.
Published: (2024)

PersonaHOI: Effortlessly Improving Personalized Face with Human-Object Interaction Generation
by: Hu, Xinting, et al.
Published: (2025)

Toward a Diffusion-Based Generalist for Dense Vision Tasks
by: Fan, Yue, et al.
Published: (2024)

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks
by: Kleinmann, Marcel, et al.
Published: (2025)

CNNs, Transformers, Hybrid, and Vision Language Models for Skin Cancer Detection
by: Dey, Durjoy, et al.
Published: (2026)

Integrative CAM: Adaptive Layer Fusion for Comprehensive Interpretation of CNNs
by: Singh, Aniket K., et al.
Published: (2024)

Adversarial Training against Location-Optimized Adversarial Patches
by: Rao, Sukrut, et al.
Published: (2020)

Temporal Concept Dynamics in Diffusion Models via Prompt-Conditioned Interventions
by: Gorgun, Ada, et al.
Published: (2025)

R-CoV: Region-Aware Chain-of-Verification for Alleviating Object Hallucinations in LVLMs
by: Xie, Jiahao, et al.
Published: (2026)

SSL-R1: Self-Supervised Visual Reinforcement Post-Training for Multimodal Large Language Models
by: Xie, Jiahao, et al.
Published: (2026)

Unbiasing through Textual Descriptions: Mitigating Representation Bias in Video Benchmarks
by: Shvetsova, Nina, et al.
Published: (2025)

CASA: Cross-Attention over Self-Attention for Efficient Vision-Language Fusion
by: Böhle, Moritz, et al.
Published: (2025)

CFM: Language-aligned Concept Foundation Model for Vision
by: Wittenmayer, Kai, et al.
Published: (2026)