Cover Image

Attribution Upsampling should Redistribute, Not Interpolate

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Buono, Vincenzo, Mashhadi, Peyman Sheikholharam, Rahat, Mahmoud, Tiwari, Prayag, Byttner, Stefan
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Expected Grad-CAM: Towards gradient faithfulness
by: Buono, Vincenzo, et al.
Published: (2024)

Rolling the dice for better deep learning performance: A study of randomness techniques in deep neural networks
by: Altarabichi, Mohammed Ghaith, et al.
Published: (2024)

AnyUp: Universal Feature Upsampling
by: Wimmer, Thomas, et al.
Published: (2025)

Rethinking Data Input for Point Cloud Upsampling
by: Zhang, Tongxu
Published: (2024)

Phoenix: A Federated Generative Diffusion Model
by: Jothiraj, Fiona Victoria Stanley, et al.
Published: (2023)

LDA-AQU: Adaptive Query-guided Upsampling via Local Deformable Attention
by: Du, Zewen, et al.
Published: (2024)

Benchmarking the Fairness of Image Upsampling Methods
by: Laszkiewicz, Mike, et al.
Published: (2024)

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving
by: Chen, Chuang, et al.
Published: (2025)

Neuron Incidence Redistribution for Fairness in Medical Image Classification
by: Shoby, Abin, et al.
Published: (2026)

Benchmarking the Attribution Quality of Vision Models
by: Hesse, Robin, et al.
Published: (2024)

UDPM: Upsampling Diffusion Probabilistic Models
by: Abu-Hussein, Shady, et al.
Published: (2023)

Oh-A-DINO: Understanding and Enhancing Attribute-Level Information in Self-Supervised Object-Centric Representations
by: Wagner, Stefan Sylvius, et al.
Published: (2025)

Bias Redistribution in Visual Machine Unlearning: Does Forgetting One Group Harm Another?
by: Haruna, Yunusa, et al.
Published: (2026)

Mixup Augmentation with Multiple Interpolations
by: Shen, Lifeng, et al.
Published: (2024)

Adaptive Guided Upsampling for Low-light Image Enhancement
by: Dcosta, Angela Vivian, et al.
Published: (2025)

ChannelExplorer: Exploring Class Separability Through Activation Channel Visualization
by: Zaman, Md Rahat-uz-, et al.
Published: (2025)

Benchmarking Feature Upsampling Methods for Vision Foundation Models using Interactive Segmentation
by: Havrylov, Volodymyr, et al.
Published: (2025)

3DTV: A Feedforward Interpolation Network for Real-Time View Synthesis
by: Schulz, Stefan, et al.
Published: (2026)

TULIP: Transformer for Upsampling of LiDAR Point Clouds
by: Yang, Bin, et al.
Published: (2023)

Higher-order Spatio-temporal Physics-incorporated Graph Neural Network for Multivariate Time Series Imputation
by: Liang, Guojun, et al.
Published: (2024)

Neural Additive Image Model: Interpretation through Interpolation
by: Reuter, Arik, et al.
Published: (2024)

Improving Neural Optimal Transport via Displacement Interpolation
by: Choi, Jaemoo, et al.
Published: (2024)

Stylish and Functional: Guided Interpolation Subject to Physical Constraints
by: Chen, Yan-Ying, et al.
Published: (2024)

Always Skip Attention
by: Ji, Yiping, et al.
Published: (2025)

Positional Encodings Anchor Spatial Structure in Vision Transformers: A Geometric Perspective on Robustness
by: Mannes, Mahmoud
Published: (2026)

CG-CNN: Self-Supervised Feature Extraction Through Contextual Guidance and Transfer Learning
by: Kursun, Olcay, et al.
Published: (2021)

ELMO: Enhanced Real-time LiDAR Motion Capture through Upsampling
by: Jang, Deok-Kyeong, et al.
Published: (2024)

DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation
by: Oh, Changdae, et al.
Published: (2024)

Flashbacks to Harmonize Stability and Plasticity in Continual Learning
by: Mahmoodi, Leila, et al.
Published: (2025)

SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers
by: Ma, Nanye, et al.
Published: (2024)

Enhancing Authorship Attribution with Synthetic Paintings
by: Loures, Clarissa, et al.
Published: (2026)

Training Feature Attribution for Vision Models
by: Bacha, Aziz, et al.
Published: (2025)

Unveiling Concept Attribution in Diffusion Models
by: Nguyen, Quang H., et al.
Published: (2024)

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

Topology Aware Neural Interpolation of Scalar Fields
by: Kissi, Mohamed, et al.
Published: (2025)

Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts
by: Chen, Shengzhuang, et al.
Published: (2024)

Fast Data Attribution for Text-to-Image Models
by: Wang, Sheng-Yu, et al.
Published: (2025)

Evaluating Feature Attribution Methods in the Image Domain
by: Gevaert, Arne, et al.
Published: (2022)

An Attribute-based Method for Video Anomaly Detection
by: Reiss, Tal, et al.
Published: (2022)

Learning to Weight Parameters for Training Data Attribution
by: Li, Shuangqi, et al.
Published: (2025)