Image de couverture de livre

Pool-Select-Refine: Allocation-Aware Generative Dataset Distillation with Soft-Label-Guided Latent Refinement

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Li, Wenmin, Sakai, Shunsuke, Zhao, Zhongkai, Hasegawa, Tatsuhito
Format:	Preprint
Publié:	2026
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Contrastive Learning-Enhanced Trajectory Matching for Small-Scale Dataset Distillation
par: Li, Wenmin, et autres
Publié: (2025)

Analytical Softmax Temperature Setting from Feature Dimensions for Model- and Domain-Robust Classification
par: Hasegawa, Tatsuhito, et autres
Publié: (2025)

Noisy Deep Ensemble: Accelerating Deep Ensemble Learning via Noise Injection
par: Sakai, Shunsuke, et autres
Publié: (2025)

Label-Consistent Dataset Distillation with Detector-Guided Refinement
par: Zou, Yawen, et autres
Publié: (2025)

InvAD: Inversion-based Reconstruction-Free Anomaly Detection with Diffusion Models
par: Sakai, Shunsuke, et autres
Publié: (2025)

LADMIM: Logical Anomaly Detection with Masked Image Modeling in Discrete Latent Space
par: Sakai, Shunsuke, et autres
Publié: (2024)

Enhancing Dataset Distillation via Label Inconsistency Elimination and Learning Pattern Refinement
par: Zhou, Chuhao, et autres
Publié: (2024)

Easy Ensemble: Simple Deep Ensemble Learning for Sensor-Based Human Activity Recognition
par: Hasegawa, Tatsuhito, et autres
Publié: (2022)

Region-Aware Text-to-Image Generation via Hard Binding and Soft Refinement
par: Chen, Zhennan, et autres
Publié: (2024)

DSeq-JEPA: Discriminative Sequential Joint-Embedding Predictive Architecture
par: He, Xiangteng, et autres
Publié: (2025)

Vector-Quantized Soft Label Compression for Dataset Distillation
par: Abbasi, Ali, et autres
Publié: (2026)

Enhancing Dataset Distillation via Non-Critical Region Refinement
par: Tran, Minh-Tuan, et autres
Publié: (2025)

Knowledge Distillation with Refined Logits
par: Sun, Wujie, et autres
Publié: (2024)

Efficient Adaptive Label Refinement for Label Noise Learning
par: Zhang, Wenzhen, et autres
Publié: (2025)

One Pass Is Not Enough: Recursive Latent Refinement for Generative Models
par: Esmaeilzadeh, Mehdi, et autres
Publié: (2026)

Uncertainty-Aware Diffusion Guided Refinement of 3D Scenes
par: Bose, Sarosij, et autres
Publié: (2025)

OmniRefiner: Reinforcement-Guided Local Diffusion Refinement
par: Liu, Yaoli, et autres
Publié: (2025)

Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?
par: Xiao, Lingao, et autres
Publié: (2024)

Uncertainty-Aware Label Refinement on Hypergraphs for Personalized Federated Facial Expression Recognition
par: Ding, Hu, et autres
Publié: (2025)

FlexiEdit: Frequency-Aware Latent Refinement for Enhanced Non-Rigid Editing
par: Koo, Gwanhyeong, et autres
Publié: (2024)

Noisy Label Refinement with Semantically Reliable Synthetic Images
par: Li, Yingxuan, et autres
Publié: (2025)

Refine-by-Align: Reference-Guided Artifacts Refinement through Semantic Alignment
par: Song, Yizhi, et autres
Publié: (2024)

Latent Video Dataset Distillation
par: Li, Ning, et autres
Publié: (2025)

Self-Distilled Depth Refinement with Noisy Poisson Fusion
par: Li, Jiaqi, et autres
Publié: (2024)

DGRNet: Disagreement-Guided Refinement for Uncertainty-Aware Brain Tumor Segmentation
par: Mohammadi, Bahram, et autres
Publié: (2026)

Class-Aware Mask-Guided Feature Refinement for Scene Text Recognition
par: Yang, Mingkun, et autres
Publié: (2024)

3D Weakly Supervised Semantic Segmentation via Class-Aware and Geometry-Guided Pseudo-Label Refinement
par: Xu, Xiaoxu, et autres
Publié: (2025)

LatRef-Diff: Latent and Reference-Guided Diffusion for Facial Attribute Editing and Style Manipulation
par: Huang, Wenmin, et autres
Publié: (2026)

A Semi-Supervised Framework for Breast Ultrasound Segmentation with Training-Free Pseudo-Label Generation and Label Refinement
par: Li, Ruili, et autres
Publié: (2026)

Rethinking Dataset Distillation: Hard Truths about Soft Labels
par: Dey, Priyam, et autres
Publié: (2026)

AnoRefiner: Anomaly-Aware Group-Wise Refinement for Zero-Shot Industrial Anomaly Detection
par: Huang, Dayou, et autres
Publié: (2025)

Proprio: Latent Self-Scoring and Inference-Time Refinement for Physically Plausible Video Generation
par: Hassan, Mariam, et autres
Publié: (2026)

Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns
par: Kim, Min Je, et autres
Publié: (2025)

Camera-aware Label Refinement for Unsupervised Person Re-identification
par: Li, Pengna, et autres
Publié: (2024)

Rectifying Soft-Label Entangled Bias in Long-Tailed Dataset Distillation
par: Jiang, Chenyang, et autres
Publié: (2025)

Generalized Correspondence Matching via Flexible Hierarchical Refinement and Patch Descriptor Distillation
par: Han, Yu, et autres
Publié: (2024)

Student-Oriented Teacher Knowledge Refinement for Knowledge Distillation
par: Shen, Chaomin, et autres
Publié: (2024)

COLLAR: Cascaded Object-Level Latent Refinement for High-Fidelity Conditional Generation
par: Zhang, Xinlong, et autres
Publié: (2026)

Dataset Distillation with Probabilistic Latent Features
par: Li, Zhe, et autres
Publié: (2025)

Bootstrapping Physics-Grounded Video Generation through VLM-Guided Iterative Self-Refinement
par: Liu, Yang, et autres
Publié: (2025)