:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Riya, Farhin Farhad, Hoque, Shahinul, Sun, Jinyuan Stella, Kotevska, Olivera
Formato:	Preprint
Publicado:	2025
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	https://arxiv.org/abs/2511.13535
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

IntraShuffler: A Privacy Preserving Framework for Heterogeneous DP Federated Learning
por: Riya, Farhin Farhad, et al.
Publicado: (2026)

Effects of Real-Life Traffic Sign Alteration on YOLOv7- an Object Recognition Model
por: Riya, Farhin Farhad, et al.
Publicado: (2023)

HRI Challenges Influencing Low Usage of Robotic Systems in Disaster Response and Rescue Operations
por: Hoque, Shahinul, et al.
Publicado: (2024)

Smart Driver Monitoring Robotic System to Enhance Road Safety : A Comprehensive Review
por: Riya, Farhin Farhad, et al.
Publicado: (2024)

Deep Learning model integrity checking mechanism using watermarking technique
por: Hoque, Shahinul, et al.
Publicado: (2023)

Mitigating Adversarial Effects of False Data Injection Attacks in Power Grid
por: Riya, Farhin Farhad, et al.
Publicado: (2023)

The Key of Parameter Skew in Federated Learning
por: Liao, Junfeng, et al.
Publicado: (2024)

Improving Robustness of Spectrogram Classifiers with Neural Stochastic Differential Equations
por: Brogan, Joel, et al.
Publicado: (2024)

CorruptEncoder: Data Poisoning based Backdoor Attacks to Contrastive Learning
por: Zhang, Jinghuai, et al.
Publicado: (2022)

Exploring Vacant Classes in Label-Skewed Federated Learning
por: Guo, Kuangpu, et al.
Publicado: (2024)

Exploiting Label Skewness for Spiking Neural Networks in Federated Learning
por: Yu, Di, et al.
Publicado: (2024)

Neural Collapse-Inspired Multi-Label Federated Learning under Label-Distribution Skew
por: Peng, Can, et al.
Publicado: (2025)

Benchmarking Federated Learning Frameworks for Medical Imaging Deployment: A Comparative Study of NVIDIA FLARE, Flower, and Owkin Substra
por: Gupta, Riya, et al.
Publicado: (2025)

Tracing Back the Malicious Clients in Poisoning Attacks to Federated Learning
por: Jia, Yuqi, et al.
Publicado: (2024)

When Accuracy Is Not Enough: Uncertainty Collapse between Noisy Label Learning and Out-of-Distribution Detection
por: Peng, Ningkang, et al.
Publicado: (2026)

OVSeg3R: Learn Open-vocabulary Instance Segmentation from 2D via 3D Reconstruction
por: Li, Hongyang, et al.
Publicado: (2025)

Backdoor Federated Learning by Poisoning Backdoor-Critical Layers
por: Zhuang, Haomin, et al.
Publicado: (2023)

FedPoisonTTP: A Threat Model and Poisoning Attack for Federated Test-Time Personalization
por: Iftee, Md Akil Raihan, et al.
Publicado: (2025)

Poisoning Attacks on Federated Learning for Autonomous Driving
por: Garg, Sonakshi, et al.
Publicado: (2024)

Pixel-Wise Color Constancy via Smoothness Techniques in Multi-Illuminant Scenes
por: Entok, Umut Cem, et al.
Publicado: (2024)

Rethinking the Good Enough Embedding for Easy Few-Shot Learning
por: Karnes, Michael, et al.
Publicado: (2026)

Bridging Accuracy and Interpretability: Deep Learning with XAI for Breast Cancer Detection
por: Chhetri, Bishal, et al.
Publicado: (2025)

3D Skew-Normal Splatting
por: Wu, Xiangru, et al.
Publicado: (2026)

MicroDetect-Net (MDN): Leveraging Deep Learning to Detect Microplastics in Clam Blood, a Step Towards Human Blood Analysis
por: Marwah, Riju, et al.
Publicado: (2025)

Maximizing Uncertainty for Federated learning via Bayesian Optimisation-based Model Poisoning
por: Aristodemou, Marios, et al.
Publicado: (2025)

Learning Optical Flow Field via Neural Ordinary Differential Equation
por: Mirvakhabova, Leyla, et al.
Publicado: (2025)

On The Relationship between Visual Anomaly-free and Anomalous Representations
por: Sadrani, Riya, et al.
Publicado: (2024)

ColorPeel: Color Prompt Learning with Diffusion Models via Color and Shape Disentanglement
por: Butt, Muhammad Atif, et al.
Publicado: (2024)

Enhancing Novel View Synthesis via Geometry Grounded Set Diffusion
por: Zanjani, Farhad G., et al.
Publicado: (2026)

EndoSfM3D: Learning to 3D Reconstruct Any Endoscopic Surgery Scene using Self-supervised Foundation Model
por: Zhang, Changhao, et al.
Publicado: (2025)

When Good OCR Is Not Enough: Benchmarking OCR Robustness for Retrieval-Augmented Generation
por: Sun, Lin, et al.
Publicado: (2026)

The Victim and The Beneficiary: Exploiting a Poisoned Model to Train a Clean Model on Poisoned Data
por: Zhu, Zixuan, et al.
Publicado: (2024)

Less is Enough: Training-Free Video Diffusion Acceleration via Runtime-Adaptive Caching
por: Zhou, Xin, et al.
Publicado: (2025)

[CLS] is Not Enough: Multi-Label Recognition via Patch-Level Inference and Adaptive Aggregation
por: Wang, Akang, et al.
Publicado: (2026)

Skewness-Guided Pruning of Multimodal Swin Transformers for Federated Skin Lesion Classification on Edge Devices
por: Paxton, Kuniko, et al.
Publicado: (2025)

Vision Language Model for Interpretable and Fine-grained Detection of Safety Compliance in Diverse Workplaces
por: Chen, Zhiling, et al.
Publicado: (2024)

Next Token Is Enough: Realistic Image Quality and Aesthetic Scoring with Multimodal Large Language Model
por: Li, Mingxing, et al.
Publicado: (2025)

Towards Robust Image Stitching: An Adaptive Resistance Learning against Compatible Attacks
por: Jiang, Zhiying, et al.
Publicado: (2024)

Un-EVIMO: Unsupervised Event-Based Independent Motion Segmentation
por: Wang, Ziyun, et al.
Publicado: (2023)

SegVGGT: Joint 3D Reconstruction and Instance Segmentation from Multi-View Images
por: Qu, Jinyuan, et al.
Publicado: (2026)