Copertina

Diffusion-Enhanced Test-time Adaptation with Text and Image Augmentation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Feng, Chun-Mei, He, Yuanyang, Zou, Jian, Khan, Salman, Xiong, Huan, Li, Zhen, Zuo, Wangmeng, Goh, Rick Siow Mong, Liu, Yong
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning
di: Feng, Chun-Mei, et al.
Pubblicazione: (2025)

CPT: Consistent Proxy Tuning for Black-box Optimization
di: He, Yuanyang, et al.
Pubblicazione: (2024)

AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation
di: Zhu, Lei, et al.
Pubblicazione: (2025)

Class Balance Matters to Active Class-Incremental Learning
di: Huang, Zitong, et al.
Pubblicazione: (2024)

A New Perspective to Boost Performance Fairness for Medical Federated Learning
di: Yan, Yunlu, et al.
Pubblicazione: (2024)

MaskedCLIP: Bridging the Masked and CLIP Space for Semi-Supervised Medical Vision-Language Pre-training
di: Zhu, Lei, et al.
Pubblicazione: (2025)

Aligning Medical Conversational AI through Online Reinforcement Learning with Information-Theoretic Rewards
di: Verma, Tanvi, et al.
Pubblicazione: (2026)

Reliable Joint Segmentation of Retinal Edema Lesions in OCT Images
di: Wang, Meng, et al.
Pubblicazione: (2022)

Learning Prompt with Distribution-Based Feature Replay for Few-Shot Class-Incremental Learning
di: Huang, Zitong, et al.
Pubblicazione: (2024)

Partially Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation
di: Zhu, Lei, et al.
Pubblicazione: (2025)

How Interpretable are Reasoning Explanations from Prompting Large Language Models?
di: Yeo, Wei Jie, et al.
Pubblicazione: (2024)

Structured Semantic Cloaking for Jailbreak Attacks on Large Language Models
di: Sun, Xiaobing, et al.
Pubblicazione: (2026)

Reliable segmentation of multiple lesions from medical images
di: Meng Wang, et al.
Pubblicazione: (2024)

BriDe Arbitrager: Enhancing Arbitrage in Ethereum 2.0 via Bribery-enabled Delayed Block Production
di: Yang, Hulin, et al.
Pubblicazione: (2024)

AiRacleX: Automated Detection of Price Oracle Manipulations via LLM-Driven Knowledge Mining and Prompt Generation
di: Gao, Bo, et al.
Pubblicazione: (2025)

An Aggregation-Free Federated Learning for Tackling Data Heterogeneity
di: Wang, Yuan, et al.
Pubblicazione: (2024)

Towards Reliable Medical Image Segmentation by Modeling Evidential Calibrated Uncertainty
di: Zou, Ke, et al.
Pubblicazione: (2023)

Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging
di: Wang, Meng, et al.
Pubblicazione: (2023)

Semi-rPPG: Semi-Supervised Remote Physiological Measurement with Curriculum Pseudo-Labeling
di: Wu, Bingjie, et al.
Pubblicazione: (2025)

Look Back for More: Harnessing Historical Sequential Updates for Personalized Federated Adapter Tuning
di: Peng, Danni, et al.
Pubblicazione: (2025)

From Generalist to Specialist: Adapting Vision Language Models via Task-Specific Visual Instruction Tuning
di: Bai, Yang, et al.
Pubblicazione: (2024)

Secure and Explainable Fraud Detection in Finance via Hierarchical Multi-source Dataset Distillation
di: Qian, Yiming, et al.
Pubblicazione: (2025)

Atomic Smart Contract Interoperability with High Efficiency via Cross-Chain Integrated Execution
di: Yin, Chaoyue, et al.
Pubblicazione: (2025)

Enhanced Generative Structure Prior for Chinese Text Image Super-resolution
di: Li, Xiaoming, et al.
Pubblicazione: (2025)

Improving Learning of New Diseases through Knowledge-Enhanced Initialization for Federated Adapter Tuning
di: Peng, Danni, et al.
Pubblicazione: (2025)

Table-Lookup MAC: Scalable Processing of Quantised Neural Networks in FPGA Soft Logic
di: Gerlinghoff, Daniel, et al.
Pubblicazione: (2024)

Enabling Energy-Efficient Deployment of Large Language Models on Memristor Crossbar: A Synergy of Large and Small
di: Wang, Zhehui, et al.
Pubblicazione: (2024)

Enhancing Label-efficient Medical Image Segmentation with Text-guided Diffusion Models
di: Feng, Chun-Mei
Pubblicazione: (2024)

BenchX: A Unified Benchmark Framework for Medical Vision-Language Pretraining on Chest X-Rays
di: Zhou, Yang, et al.
Pubblicazione: (2024)

Enhancing Community Vision Screening -- AI Driven Retinal Photography for Early Disease Detection and Patient Trust
di: Lei, Xiaofeng, et al.
Pubblicazione: (2024)

Optimizing Neural Networks with Learnable Non-Linear Activation Functions via Lookup-Based FPGA Acceleration
di: Yin, Mengyuan, et al.
Pubblicazione: (2025)

UrFound: Towards Universal Retinal Foundation Models via Knowledge-Guided Masked Modeling
di: Yu, Kai, et al.
Pubblicazione: (2024)

DPxFin: Adaptive Differential Privacy for Anti-Money Laundering Detection via Reputation-Weighted Federated Learning
di: Kanagavelu, Renuga, et al.
Pubblicazione: (2026)

Is Quantum Optimization Ready? An Effort Towards Neural Network Compression using Adiabatic Quantum Computing
di: Wang, Zhehui, et al.
Pubblicazione: (2025)

Image Demoiréing Using Dual Camera Fusion on Mobile Phones
di: Mei, Yanting, et al.
Pubblicazione: (2025)

History-Aware and Dynamic Client Contribution in Federated Learning
di: Ghosh, Bishwamittra, et al.
Pubblicazione: (2024)

UniM$^2$AE: Multi-modal Masked Autoencoders with Unified 3D Representation for 3D Perception in Autonomous Driving
di: Zou, Jian, et al.
Pubblicazione: (2023)

Bridging Geometry-Coherent Text-to-3D Generation with Multi-View Diffusion Priors and Gaussian Splatting
di: Yang, Feng, et al.
Pubblicazione: (2025)

Retrieval Augmented Image Harmonization
di: Wang, Haolin, et al.
Pubblicazione: (2024)

FedSmoothLoRA: Toward Smoother and Faster Convergence in Federated Low-Rank Adaptation
di: Wang, Zehao, et al.
Pubblicazione: (2026)