Image de couverture de livre

DIAGen: Semantically Diverse Image Augmentation with Generative Models for Few-Shot Learning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Lingenberg, Tobias, Reuter, Markus, Sudhakaran, Gopika, Gojny, Dominik, Roth, Stefan, Schaub-Meyer, Simone
Format:	Preprint
Publié:	2024
Sujets:	Computer Vision and Pattern Recognition Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

ART: Adaptive Relation Tuning for Generalized Relation Prediction
par: Sudhakaran, Gopika, et autres
Publié: (2025)

Efficient Masked Attention Transformer for Few-Shot Classification and Segmentation
par: Carrión-Ojeda, Dustin, et autres
Publié: (2025)

Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals
par: Hahn, Oliver, et autres
Publié: (2024)

GLASS: Guided Latent Slot Diffusion for Object-Centric Learning
par: Singh, Krishnakant, et autres
Publié: (2024)

Benchmarking the Attribution Quality of Vision Models
par: Hesse, Robin, et autres
Publié: (2024)

Evaluating Object-Centric Models beyond Object Discovery
par: Singh, Krishnakant, et autres
Publié: (2026)

Is Synthetic Data all We Need? Benchmarking the Robustness of Models Trained with Synthetic Images
par: Singh, Krishnakant, et autres
Publié: (2024)

Removing Cost Volumes from Optical Flow Estimators
par: Kiefhaber, Simon, et autres
Publié: (2025)

Beyond Accuracy: What Matters in Designing Well-Behaved Image Classification Models?
par: Hesse, Robin, et autres
Publié: (2025)

Disentangling Polysemantic Channels in Convolutional Neural Networks
par: Hesse, Robin, et autres
Publié: (2025)

MUFASA: A Multi-Layer Framework for Slot Attention
par: Bock, Sebastian, et autres
Publié: (2026)

What is Missing? Explaining Neurons Activated by Absent Concepts
par: Hesse, Robin, et autres
Publié: (2026)

MUSE: Harnessing Precise and Diverse Semantics for Few-Shot Whole Slide Image Classification
par: Xu, Jiahao, et autres
Publié: (2026)

Frozen Feature Augmentation for Few-Shot Image Classification
par: Bär, Andreas, et autres
Publié: (2024)

Simple Semantic-Aided Few-Shot Learning
par: Zhang, Hai, et autres
Publié: (2023)

Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation Model
par: Endres, Jannik, et autres
Publié: (2025)

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery
par: Gong, Xinrui, et autres
Publié: (2025)

MPA: Multimodal Prototype Augmentation for Few-Shot Learning
par: Wu, Liwen, et autres
Publié: (2026)

LDCA: Local Descriptors with Contextual Augmentation for Few-Shot Learning
par: Wang, Maofa, et autres
Publié: (2024)

Visual-Augmented Dynamic Semantic Prototype for Generative Zero-Shot Learning
par: Hou, Wenjin, et autres
Publié: (2024)

DivCon-NeRF: Diverse and Consistent Ray Augmentation for Few-Shot NeRF
par: Lee, Ingyun, et autres
Publié: (2025)

Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation
par: Jin, Ying, et autres
Publié: (2024)

AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model
par: Hu, Teng, et autres
Publié: (2023)

Embedding Generalized Semantic Knowledge into Few-Shot Remote Sensing Segmentation
par: Jia, Yuyu, et autres
Publié: (2024)

Generalized Few-Shot Semantic Segmentation in Remote Sensing: Challenge and Benchmark
par: Broni-Bediako, Clifford, et autres
Publié: (2024)

Generalized Semantic Contrastive Learning via Embedding Side Information for Few-Shot Object Detection
par: Chen, Ruoyu, et autres
Publié: (2025)

Few-Shot Panoptic Segmentation With Foundation Models
par: Käppeler, Markus, et autres
Publié: (2023)

A Feature Generator for Few-Shot Learning
par: Kanagalingam, Heethanjan, et autres
Publié: (2024)

SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning
par: Lai, Jinxiang, et autres
Publié: (2023)

tSF: Transformer-based Semantic Filter for Few-Shot Learning
par: Lai, Jinxiang, et autres
Publié: (2022)

Boosting Few-Shot Semantic Segmentation Via Segment Anything Model
par: Feng, Chen-Bin, et autres
Publié: (2024)

Matching-Based Few-Shot Semantic Segmentation Models Are Interpretable by Design
par: De Marinis, Pasquale, et autres
Publié: (2025)

Few-Shot Learner Generalizes Across AI-Generated Image Detection
par: Wu, Shiyu, et autres
Publié: (2025)

Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge Transfer
par: Chen, Xinyue, et autres
Publié: (2024)

Beyond Visual Cues: Leveraging General Semantics as Support for Few-Shot Segmentation
par: Wang, Jin, et autres
Publié: (2025)

DeiSAM: Segment Anything with Deictic Prompting
par: Shindo, Hikaru, et autres
Publié: (2024)

Generative Model-Based Fusion for Improved Few-Shot Semantic Segmentation of Infrared Images
par: Yun, Junno, et autres
Publié: (2024)

Few-Shot Image Generation by Conditional Relaxing Diffusion Inversion
par: Cao, Yu, et autres
Publié: (2024)

Dual-View Data Hallucination with Semantic Relation Guidance for Few-Shot Image Recognition
par: Wu, Hefeng, et autres
Publié: (2024)

Multi-Text Guided Few-Shot Semantic Segmentation
par: Jiao, Qiang, et autres
Publié: (2025)