Image de couverture de livre

Clarifying Myths About the Relationship Between Shape Bias, Accuracy, and Robustness

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Golpayegani, Zahra, St-Amant, Patrick, Bouguila, Nizar
Format:	Preprint
Publié:	2024
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

PatchSVD: A Non-uniform SVD-based Image Compression Algorithm
par: Golpayegani, Zahra, et autres
Publié: (2024)

Improving 3D Semi-supervised Learning by Effectively Utilizing All Unlabelled Data
par: Paul, Sneha, et autres
Publié: (2024)

Point Cloud as a Foreign Language for Multi-modal Large Language Model
par: Paul, Sneha, et autres
Publié: (2026)

An Adapter-free Fine-tuning Approach for Tuning 3D Foundation Models
par: Paul, Sneha, et autres
Publié: (2026)

LuKAN: A Kolmogorov-Arnold Network Framework for 3D Human Motion Prediction
par: Hasan, Md Zahidul, et autres
Publié: (2025)

On the Relationship Between Double Descent of CNNs and Shape/Texture Bias Under Learning Process
par: Iwase, Shun, et autres
Publié: (2025)

Identity Overlap Between Face Recognition Train/Test Data: Causing Optimistic Bias in Accuracy Measurement
par: Wu, Haiyu, et autres
Publié: (2024)

Shape Bias and Robustness Evaluation via Cue Decomposition for Image Classification and Segmentation
par: Heinert, Edgar, et autres
Publié: (2025)

Enhancing Rotation-Invariant 3D Learning with Global Pose Awareness and Attention Mechanisms
par: Guo, Jiaxun, et autres
Publié: (2025)

Utilizing Adversarial Examples for Bias Mitigation and Accuracy Enhancement
par: Shukla, Pushkar, et autres
Publié: (2024)

Domain-Guided YOLO26 with Composite BCE-Dice-Lovász Loss for Multi-Class Fetal Head Ultrasound Segmentation
par: Nizar, M. Fazri
Publié: (2026)

Promoting Shape Bias in CNNs: Frequency-Based and Contrastive Regularization for Corruption Robustness
par: Ranabhat, Robin Narsingh, et autres
Publié: (2025)

VAGUE: Visual Contexts Clarify Ambiguous Expressions
par: Nam, Heejeong, et autres
Publié: (2024)

RSC-SNN: Exploring the Trade-off Between Adversarial Robustness and Accuracy in Spiking Neural Networks via Randomized Smoothing Coding
par: Wu, Keming, et autres
Publié: (2024)

Robust Alignment: Harmonizing Clean Accuracy and Adversarial Robustness in Adversarial Training
par: Wang, Yanyun, et autres
Publié: (2026)

Detection of Synthetic Face Images: Accuracy, Robustness, Generalization
par: Petrzelkova, Nela, et autres
Publié: (2024)

Asking Multimodal Clarifying Questions in Mixed-Initiative Conversational Search
par: Yuan, Yifei, et autres
Publié: (2024)

What Makes VLMs Robust? Towards Reconciling Robustness and Accuracy in Vision-Language Models
par: Nie, Sen, et autres
Publié: (2026)

ETCHR: Editing To Clarify and Harness Reasoning
par: Zhang, Beichen, et autres
Publié: (2026)

Enhancing Accuracy and Robustness of Steering Angle Prediction with Attention Mechanism
par: Nadella, Swetha, et autres
Publié: (2022)

Mitigating Prior Shape Bias in Point Clouds via Differentiable Center Learning
par: Li, Zhe, et autres
Publié: (2024)

Investigation of Accuracy and Bias in Face Recognition Trained with Synthetic Data
par: Korshunov, Pavel, et autres
Publié: (2025)

A Rapid Test for Accuracy and Bias of Face Recognition Technology
par: Knott, Manuel, et autres
Publié: (2025)

Robust Shape Regularity Criteria for Superpixel Evaluation
par: Giraud, Rémi, et autres
Publié: (2019)

Salient Information Preserving Adversarial Training Improves Clean and Robust Accuracy
par: Redgrave, Timothy, et autres
Publié: (2025)

Video Relationship Detection Using Mixture of Experts
par: Shaabana, Ala, et autres
Publié: (2024)

Revisiting the Trade-off between Accuracy and Robustness via Weight Distribution of Filters
par: Wei, Xingxing, et autres
Publié: (2023)

FMAC: a Fair Fiducial Marker Accuracy Comparison Software
par: Laurent, Guillaume J., et autres
Publié: (2026)

Robust Shape Fitting for 3D Scene Abstraction
par: Kluger, Florian, et autres
Publié: (2024)

A High-Accuracy Fast Hough Transform with Linear-Log-Cubed Computational Complexity for Arbitrary-Shaped Images
par: Kazimirov, Danil, et autres
Publié: (2025)

A Gaze-grounded Visual Question Answering Dataset for Clarifying Ambiguous Japanese Questions
par: Inadumi, Shun, et autres
Publié: (2024)

EtC: Temporal Boundary Expand then Clarify for Weakly Supervised Video Grounding with Multimodal Large Language Model
par: Li, Guozhang, et autres
Publié: (2023)

Using Deep Learning to Increase Eye-Tracking Robustness, Accuracy, and Precision in Virtual Reality
par: Barkevich, Kevin, et autres
Publié: (2024)

Alignment Scores: Robust Metrics for Multiview Pose Accuracy Evaluation
par: Lee, Seong Hun, et autres
Publié: (2024)

Deep Frequency-Aware Functional Maps for Robust Shape Matching
par: Luo, Feifan, et autres
Publié: (2024)

Unsupervised Contrastive Learning for Efficient and Robust Spectral Shape Matching
par: Luo, Feifan, et autres
Publié: (2026)

4Deform: Neural Surface Deformation for Robust Shape Interpolation
par: Sang, Lu, et autres
Publié: (2025)

ROSA: Reconstructing Object Shape and Appearance Textures by Adaptive Detail Transfer
par: Kaltheuner, Julian, et autres
Publié: (2025)

Transferring Styles for Reduced Texture Bias and Improved Robustness in Semantic Segmentation Networks
par: Hamscher, Ben, et autres
Publié: (2025)

Does resistance to style-transfer equal Global Shape Bias? Measuring network sensitivity to global shape configuration
par: Wen, Ziqi, et autres
Publié: (2023)