Image de couverture de livre

Dataset Enhancement with Instance-Level Augmentations

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Kupyn, Orest, Rupprecht, Christian
Format:	Preprint
Publié:	2024
Sujets:	Computer Vision and Pattern Recognition Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

VGGHeads: 3D Multi Head Alignment with a Large-Scale Synthetic Dataset
par: Kupyn, Orest, et autres
Publié: (2024)

S3OD: Towards Generalizable Salient Object Detection with Synthetic Data
par: Kupyn, Orest, et autres
Publié: (2025)

Epipolar Geometry Improves Video Generation Models
par: Kupyn, Orest, et autres
Publié: (2025)

PoseDreamer: Scalable and Photorealistic Human Data Generation Pipeline with Diffusion Models
par: Prospero, Lorenza, et autres
Publié: (2026)

Training-Free Dataset Pruning for Instance Segmentation
par: Dai, Yalun, et autres
Publié: (2025)

DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single Image
par: Martyniuk, Tetiana, et autres
Publié: (2022)

Policy-based Tuning of Autoregressive Image Models with Instance- and Distribution-Level Rewards
par: Baran, Orhun Buğra, et autres
Publié: (2026)

Designing Instance-Level Sampling Schedules via REINFORCE with James-Stein Shrinkage
par: Yu, Peiyu, et autres
Publié: (2025)

MEDDAP: Medical Dataset Enhancement via Diversified Augmentation Pipeline
par: Medghalchi, Yasamin, et autres
Publié: (2024)

DSO: Aligning 3D Generators with Simulation Feedback for Physical Soundness
par: Li, Ruining, et autres
Publié: (2025)

Learning segmentation from point trajectories
par: Karazija, Laurynas, et autres
Publié: (2025)

VFMF: World Modeling by Forecasting Vision Foundation Model Features
par: Boduljak, Gabrijel, et autres
Publié: (2025)

Mitigating Instance Entanglement in Instance-Dependent Partial Label Learning
par: Zhao, Rui, et autres
Publié: (2026)

MouseSIS: A Frames-and-Events Dataset for Space-Time Instance Segmentation of Mice
par: Hamann, Friedhelm, et autres
Publié: (2024)

What Happens Next? Anticipating Future Motion by Generating Point Trajectories
par: Boduljak, Gabrijel, et autres
Publié: (2025)

Region-of-Interest Augmentation for Mammography Classification under Patient-Level Cross-Validation
par: Bigdeli, Farbod, et autres
Publié: (2025)

Progressive Alignment with VLM-LLM Feature to Augment Defect Classification for the ASE Dataset
par: Hsu, Chih-Chung, et autres
Publié: (2024)

Enhancing Image Classification in Small and Unbalanced Datasets through Synthetic Data Augmentation
par: De La Fuente, Neil, et autres
Publié: (2024)

SafeAug: Safety-Critical Driving Data Augmentation from Naturalistic Datasets
par: Mo, Zhaobin, et autres
Publié: (2025)

AROID: Improving Adversarial Robustness Through Online Instance-Wise Data Augmentation
par: Li, Lin, et autres
Publié: (2023)

MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance Segmentation
par: Xie, Jiahao, et autres
Publié: (2023)

UtilGen: Utility-Centric Generative Data Augmentation with Dual-Level Task Adaptation
par: Guo, Jiyu, et autres
Publié: (2025)

Instance-Aware Group Quantization for Vision Transformers
par: Moon, Jaehyeon, et autres
Publié: (2024)

Cluster-Aware Similarity Diffusion for Instance Retrieval
par: Luo, Jifei, et autres
Publié: (2024)

Learning to Transform for Generalizable Instance-wise Invariance
par: Singhal, Utkarsh, et autres
Publié: (2023)

INSTA-YOLO: Real-Time Instance Segmentation
par: Mohamed, Eslam, et autres
Publié: (2021)

Federated Learning with Instance-Dependent Noisy Label
par: Wang, Lei, et autres
Publié: (2023)

ISCUTE: Instance Segmentation of Cables Using Text Embedding
par: Kozlovsky, Shir, et autres
Publié: (2024)

Effective Defect Detection Using Instance Segmentation for NDI
par: Rahman, Ashiqur, et autres
Publié: (2025)

Instance-wise Supervision-level Optimization in Active Learning
par: Matsuo, Shinnosuke, et autres
Publié: (2025)

Augmenting Ground-Level PM2.5 Prediction via Kriging-Based Pseudo-Label Generation
par: Duan, Lei, et autres
Publié: (2024)

VGGRPO: Towards World-Consistent Video Generation with 4D Latent Reward
par: An, Zhaochong, et autres
Publié: (2026)

xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology
par: Hense, Julius, et autres
Publié: (2024)

Instance Segmentation XXL-CT Challenge of a Historic Airplane
par: Gruber, Roland, et autres
Publié: (2024)

MILD: Modeling the Instance Learning Dynamics for Learning with Noisy Labels
par: Hu, Chuanyang, et autres
Publié: (2023)

Unlearning the Unpromptable: Prompt-free Instance Unlearning in Diffusion Models
par: Lee, Kyungryeol, et autres
Publié: (2026)

InstanceDiffusion: Instance-level Control for Image Generation
par: Wang, Xudong, et autres
Publié: (2024)

Virtually Enriched NYU Depth V2 Dataset for Monocular Depth Estimation: Do We Need Artificial Augmentation?
par: Ignatov, Dmitry, et autres
Publié: (2024)

Generating Compositional Scenes via Text-to-image RGBA Instance Generation
par: Fontanella, Alessandro, et autres
Publié: (2024)

Instance-Warp: Saliency Guided Image Warping for Unsupervised Domain Adaptation
par: Zheng, Shen, et autres
Publié: (2024)