Cover Image

Learning to Complement with Multiple Humans

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Zheng, Nguyen, Cuong, Wells, Kevin, Do, Thanh-Toan, Carneiro, Gustavo
Format:	Preprint
Published:	2023
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning to Complement and to Defer to Multiple Users
by: Zhang, Zheng, et al.
Published: (2024)

Coverage-Constrained Human-AI Cooperation with Multiple Experts
by: Zhang, Zheng, et al.
Published: (2024)

Instance-dependent Noisy-label Learning with Graphical Model Based Noise-rate Estimation
by: Garg, Arpit, et al.
Published: (2023)

PASS: Peer-Agreement based Sample Selection for training with Noisy Labels
by: Garg, Arpit, et al.
Published: (2023)

AEON: Adaptive Estimation of Instance-Dependent In-Distribution and Out-of-Distribution Label Noise for Robust Learning
by: Garg, Arpit, et al.
Published: (2025)

Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning
by: Pham, Cuong, et al.
Published: (2024)

Fairness Beyond Demographics: Optimizing Performance Across Appearance-Based Hidden Cohorts in Medical Imaging
by: Masroor, Milad, et al.
Published: (2026)

Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning
by: Hoang, Dung Anh, et al.
Published: (2022)

Frequency Attention for Knowledge Distillation
by: Pham, Cuong, et al.
Published: (2024)

Fair Distillation: Teaching Fairness from Biased Teachers in Medical Imaging
by: Masroor, Milad, et al.
Published: (2024)

MetaAug: Meta-Data Augmentation for Post-Training Quantization
by: Pham, Cuong, et al.
Published: (2024)

Transfer Learning in ECG Diagnosis: Is It Effective?
by: Nguyen, Cuong V., et al.
Published: (2024)

Improving Personalized Image Generation through Social Context Feedback
by: Gupta, Parul, et al.
Published: (2025)

Sharpness-Aware Data Generation for Zero-shot Quantization
by: Hoang-Anh, Dung, et al.
Published: (2025)

The Art of Camouflage: Few-Shot Learning for Animal Detection and Segmentation
by: Nguyen, Thanh-Danh, et al.
Published: (2023)

Gradient-Aligned Calibration for Post-Training Quantization of Diffusion Models
by: Hoang, Dung Anh, et al.
Published: (2026)

h-Edit: Effective and Flexible Diffusion-Based Editing via Doob's h-Transform
by: Nguyen, Toan, et al.
Published: (2025)

Conditional Distribution Modelling for Few-Shot Image Synthesis with Diffusion Models
by: Gupta, Parul, et al.
Published: (2024)

Multi-Perspective Data Augmentation for Few-shot Object Detection
by: Vu, Anh-Khoa Nguyen, et al.
Published: (2025)

DiffAugment: Diffusion based Long-Tailed Visual Relationship Recognition
by: Gupta, Parul, et al.
Published: (2024)

Supercharged One-step Text-to-Image Diffusion Models with Negative Prompts
by: Nguyen, Viet, et al.
Published: (2024)

MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation
by: Le, Minh-Quan, et al.
Published: (2023)

CamoFA: A Learnable Fourier-based Augmentation for Camouflage Segmentation
by: Le, Minh-Quan, et al.
Published: (2023)

CPAM: Context-Preserving Adaptive Manipulation for Zero-Shot Real Image Editing
by: Vo, Dinh-Khoi, et al.
Published: (2025)

On Inference Stability for Diffusion Models
by: Nguyen, Viet, et al.
Published: (2023)

ShowFlow: From Robust Single Concept to Condition-Free Multi-Concept Generation
by: Hoang, Trong-Vu, et al.
Published: (2025)

Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation
by: Vuong, Tung-Long, et al.
Published: (2025)

Bidirectional Diffusion Bridge Models
by: Kieu, Duc, et al.
Published: (2025)

Multiverse Through Deepfakes: The MultiFakeVerse Dataset of Person-Centric Visual and Conceptual Manipulations
by: Gupta, Parul, et al.
Published: (2025)

Enhancing Dataset Distillation via Non-Critical Region Refinement
by: Tran, Minh-Tuan, et al.
Published: (2025)

Comparing Deep Neural Network for Multi-Label ECG Diagnosis From Scanned ECG
by: Nguyen, Cuong V., et al.
Published: (2025)

Deep-Wide Learning Assistance for Insect Pest Classification
by: Nguyen, Toan, et al.
Published: (2024)

LightX3ECG: A Lightweight and eXplainable Deep Learning System for 3-lead Electrocardiogram Classification
by: Le, Khiem H., et al.
Published: (2022)

MELEP: A Novel Predictive Measure of Transferability in Multi-Label ECG Diagnosis
by: Nguyen, Cuong V., et al.
Published: (2023)

Evaluating Multiple Instance Learning Strategies for Automated Sebocyte Droplet Counting
by: Adelipour, Maryam, et al.
Published: (2025)

Emotic Masked Autoencoder with Attention Fusion for Facial Expression Recognition
by: Nguyen-Xuan, Bach, et al.
Published: (2024)

Toward Content-based Indexing and Retrieval of Head and Neck CT with Abscess Segmentation
by: Dao, Thao Thi Phuong, et al.
Published: (2025)

Driver Attention Tracking and Analysis
by: Nguyen, Dat Viet Thanh, et al.
Published: (2024)

FrameDiT: Diffusion Transformer with Matrix Attention for Efficient Video Generation
by: Le, Minh Khoa, et al.
Published: (2026)

A Deep-Learning Framework for Land-Sliding Classification from Remote Sensing Image
by: Tang, Hieu, et al.
Published: (2025)