Imagen de Portada

Efficient Dataset Distillation through Low-Rank Space Sampling

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Kong, Hangyang, Zhou, Wenbo, He, Xuxiang, Tu, Xiaotong, Ding, Xinghao
Formato:	Preprint
Publicado:	2025
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Self-supervised Multiplex Consensus Mamba for General Image Fusion
por: Wang, Yingying, et al.
Publicado: (2025)

Low-Rank Similarity Mining for Multimodal Dataset Distillation
por: Xu, Yue, et al.
Publicado: (2024)

DD-Ranking: Rethinking the Evaluation of Dataset Distillation
por: Li, Zekai, et al.
Publicado: (2025)

Distillation-Supervised Convolutional Low-Rank Adaptation for Efficient Image Super-Resolution
por: Chai, Xinning, et al.
Publicado: (2025)

Low-Level Dataset Distillation for Medical Image Enhancement
por: Xu, Fengzhi, et al.
Publicado: (2025)

Exploiting Point-Language Models with Dual-Prompts for 3D Anomaly Detection
por: Wang, Jiaxiang, et al.
Publicado: (2025)

Unsupervised Low-light Image Enhancement with Lookup Tables and Diffusion Priors
por: Lin, Yunlong, et al.
Publicado: (2024)

Data-Efficient Generation for Dataset Distillation
por: Li, Zhe, et al.
Publicado: (2024)

LRDUN: A Low-Rank Deep Unfolding Network for Efficient Spectral Compressive Imaging
por: Huang, He, et al.
Publicado: (2025)

Efficient Image Restoration through Low-Rank Adaptation and Stable Diffusion XL
por: Zhao, Haiyang
Publicado: (2024)

UAVD4L: A Large-Scale Dataset for UAV 6-DoF Localization
por: Wu, Rouwan, et al.
Publicado: (2024)

Dissecting Generalized Category Discovery: Multiplex Consensus under Self-Deconstruction
por: Tang, Luyao, et al.
Publicado: (2025)

Accurate and Efficient Low-Rank Model Merging in Core Space
por: Panariello, Aniello, et al.
Publicado: (2025)

Rank-based No-reference Quality Assessment for Face Swapping
por: Zhou, Xinghui, et al.
Publicado: (2024)

ATOM: Attention Mixer for Efficient Dataset Distillation
por: Khaki, Samir, et al.
Publicado: (2024)

Efficient Dataset Distillation via Minimax Diffusion
por: Gu, Jianyang, et al.
Publicado: (2023)

Heavy Labels Out! Dataset Distillation with Label Space Lightening
por: Yu, Ruonan, et al.
Publicado: (2024)

DLRMamba: Distilling Low-Rank Mamba for Edge Multispectral Fusion Object Detection
por: Zhang, Qianqian, et al.
Publicado: (2026)

Distribution-aware Dataset Distillation for Efficient Image Restoration
por: Zheng, Zhuoran, et al.
Publicado: (2025)

Efficient Multimodal Dataset Distillation via Generative Models
por: Zhao, Zhenghao, et al.
Publicado: (2025)

LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restoration
por: Ai, Yuang, et al.
Publicado: (2024)

Null-LoRA: Low-Rank Adaptation on Null Space
por: Zhang, Yi, et al.
Publicado: (2025)

Robust Dataset Distillation by Matching Adversarial Trajectories
por: Lai, Wei, et al.
Publicado: (2025)

Enhancing Diffusion-based Dataset Distillation via Adversary-Guided Curriculum Sampling
por: Zou, Lexiao, et al.
Publicado: (2025)

KD-DETR: Knowledge Distillation for Detection Transformer with Consistent Distillation Points Sampling
por: Wang, Yu, et al.
Publicado: (2022)

Breaking the Low-Rank Dilemma of Linear Attention
por: Fan, Qihang, et al.
Publicado: (2024)

UIR-LoRA: Achieving Universal Image Restoration through Multiple Low-Rank Adaptation
por: Zhang, Cheng, et al.
Publicado: (2024)

PCMamba: Physics-Informed Cross-Modal State Space Model for Dual-Camera Compressive Hyperspectral Imaging
por: Meng, Ge, et al.
Publicado: (2025)

From Per-Image Low-Rank to Encoding Mismatch: Rethinking Feature Distillation in Vision Transformers
por: Tian, Huiyuan, et al.
Publicado: (2025)

Null-Space Diffusion Distillation for Efficient Photorealistic Lensless Imaging
por: Neto, Jose Reinaldo Cunha Santos A V Silva, et al.
Publicado: (2025)

LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation
por: Jin, Can, et al.
Publicado: (2025)

TinySAM 2: Extreme Memory Compression for Efficient Track Anything Model
por: Ding, Zhaoyuan, et al.
Publicado: (2026)

Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?
por: Xiao, Lingao, et al.
Publicado: (2024)

Mitigating Noisy Supervision Using Synthetic Samples with Soft Labels
por: Lu, Yangdi, et al.
Publicado: (2024)

Towards Consistent and Efficient Dataset Distillation via Diffusion-Driven Selection
por: Zhong, Xinhao, et al.
Publicado: (2024)

Efficient 4D Gaussian Stream with Low Rank Adaptation
por: Liu, Zhenhuan, et al.
Publicado: (2025)

Curriculum Dataset Distillation
por: Ma, Zhiheng, et al.
Publicado: (2024)

LRANet: Towards Accurate and Efficient Scene Text Detection with Low-Rank Approximation Network
por: Su, Yuchen, et al.
Publicado: (2023)

BEARD: Benchmarking the Adversarial Robustness for Dataset Distillation
por: Zhou, Zheng, et al.
Publicado: (2024)

Low-Rank Interconnected Adaptation across Layers
por: Zhong, Yibo, et al.
Publicado: (2024)