Cover Image

Benchmarking Federated Learning for Semantic Datasets: Federated Scene Graph Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ha, SeungBum, Lee, Taehwan, Lim, Jiyoun, Yoon, Sung Whan
Format:	Preprint
Published:	2024
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

Understanding Flatness in Generative Models: Its Role and Benefits
by: Lee, Taehwan, et al.
Published: (2025)

Unlearning's Blind Spots: Over-Unlearning and Prototypical Relearning Attack
by: Ha, SeungBum, et al.
Published: (2025)

Diversify and Conquer: Open-set Disagreement for Robust Semi-supervised Learning with Outliers
by: Kong, Heejo, et al.
Published: (2025)

CW-BASS: Confidence-Weighted Boundary-Aware Learning for Semi-Supervised Semantic Segmentation
by: Tarubinga, Ebenezer, et al.
Published: (2025)

The Coralscapes Dataset: Semantic Scene Understanding in Coral Reefs
by: Sauder, Jonathan, et al.
Published: (2025)

EGTR: Extracting Graph from Transformer for Scene Graph Generation
by: Im, Jinbae, et al.
Published: (2024)

Federated Joint Learning for Domain and Class Generalization
by: Xu, Haoran, et al.
Published: (2026)

Exploring the Practicality of Federated Learning: A Survey Towards the Communication Perspective
by: Le, Khiem, et al.
Published: (2024)

FARCLUSS: Fuzzy Adaptive Rebalancing and Contrastive Uncertainty Learning for Semi-Supervised Semantic Segmentation
by: Tarubinga, Ebenezer, et al.
Published: (2025)

Learning to Generate Training Datasets for Robust Semantic Segmentation
by: Hariat, Marwane, et al.
Published: (2023)

Federated Balanced Learning
by: Li, Jiaze, et al.
Published: (2026)

Predicting Traffic Flow with Federated Learning and Graph Neural with Asynchronous Computations Network
by: Yaqub, Muhammad, et al.
Published: (2024)

SCOPE: Semantic Coreset with Orthogonal Projection Embeddings for Federated learning
by: Hossen, Md Anwar, et al.
Published: (2026)

SCENIR: Visual Semantic Clarity through Unsupervised Scene Graph Retrieval
by: Chaidos, Nikolaos, et al.
Published: (2025)

ATR-Bench: A Federated Learning Benchmark for Adaptation, Trust, and Reasoning
by: Ashraf, Tajamul, et al.
Published: (2025)

FedWSQ: Efficient Federated Learning with Weight Standardization and Distribution-Aware Non-Uniform Quantization
by: Kim, Seung-Wook, et al.
Published: (2025)

Cross-Modal Emotion Transfer for Emotion Editing in Talking Face Video
by: Choi, Chanhyuk, et al.
Published: (2026)

Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning
by: Deng, Wenlong, et al.
Published: (2023)

Neuro-Symbolic Scene Graph Conditioning for Synthetic Image Dataset Generation
by: Savazzi, Giacomo, et al.
Published: (2025)

BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation
by: Lee, Daeun, et al.
Published: (2024)

FedVLMBench: Benchmarking Federated Fine-Tuning of Vision-Language Models
by: Zheng, Weiying, et al.
Published: (2025)

On the Federated Learning Framework for Cooperative Perception
by: Zhang, Zhenrong, et al.
Published: (2024)

Federated EndoViT: Pretraining Vision Transformers via Federated Learning on Endoscopic Image Collections
by: Kirchner, Max, et al.
Published: (2025)

Dependency-Aware Discrete Diffusion for Scene Graph Generation
by: Rajagopalan, Rajalaxmi, et al.
Published: (2026)

Unbiased Scene Graph Generation from Biased Training
by: Tang, Kaihua, et al.
Published: (2020)

Salient Temporal Encoding for Dynamic Scene Graph Generation
by: Zhu, Zhihao
Published: (2025)

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

Feature Diversification and Adaptation for Federated Domain Generalization
by: Yang, Seunghan, et al.
Published: (2024)

SemCity: Semantic Scene Generation with Triplane Diffusion
by: Lee, Jumin, et al.
Published: (2024)

Sequential Flow Straightening for Generative Modeling
by: Yoon, Jongmin, et al.
Published: (2024)

Federated Learning with a Single Shared Image
by: Soni, Sunny, et al.
Published: (2024)

Federated Learning for Drowsiness Detection in Connected Vehicles
by: Lindskog, William, et al.
Published: (2024)

Rehearsal-free Federated Domain-incremental Learning
by: Sun, Rui, et al.
Published: (2024)

Towards Multi-modal Transformers in Federated Learning
by: Sun, Guangyu, et al.
Published: (2024)

Federated Learning with Instance-Dependent Noisy Label
by: Wang, Lei, et al.
Published: (2023)

Towards Understanding Adversarial Transferability in Federated Learning
by: Li, Yijiang, et al.
Published: (2023)

GFPL: Generative Federated Prototype Learning for Resource-Constrained and Data-Imbalanced Vision Task
by: Lu, Shiwei, et al.
Published: (2026)

Inference-Time Scaling for Flow Models via Stochastic Generation and Rollover Budget Forcing
by: Kim, Jaihoon, et al.
Published: (2025)

A Review and Efficient Implementation of Scene Graph Generation Metrics
by: Lorenz, Julian, et al.
Published: (2024)

ESCA: Contextualizing Embodied Agents via Scene-Graph Generation
by: Huang, Jiani, et al.
Published: (2025)