Cover Image

Multi-Modal Dataset Distillation in the Wild

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dang, Zhuohang, Luo, Minnan, Jia, Chengyou, Qian, Hangwei, Chang, Xiaojun, Tsang, Ivor W.
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Flow-Factory: A Unified Framework for Reinforcement Learning in Flow-Matching Models
by: Ping, Bowen, et al.
Published: (2026)

Disentangled Representation Learning with Transmitted Information Bottleneck
by: Dang, Zhuohang, et al.
Published: (2023)

Why Settle for One? Text-to-ImageSet Generation and Evaluation
by: Jia, Chengyou, et al.
Published: (2025)

ChatGen: Automatic Text-to-Image Generation From FreeStyle Chatting
by: Jia, Chengyou, et al.
Published: (2024)

PaCo-RL: Advancing Reinforcement Learning for Consistent Image Generation with Pairwise Reward Modeling
by: Ping, Bowen, et al.
Published: (2025)

From Ideal to Real: Unified and Data-Efficient Dense Prediction for Real-World Scenarios
by: Xia, Changliang, et al.
Published: (2025)

PSDiff: Diffusion Model for Person Search with Iterative and Collaborative Refinement
by: Jia, Chengyou, et al.
Published: (2023)

SSMG: Spatial-Semantic Map Guided Diffusion Model for Free-form Layout-to-Image Generation
by: Jia, Chengyou, et al.
Published: (2023)

$\mathrm{D}^\mathrm{3}$-Predictor: Noise-Free Deterministic Diffusion for Dense Prediction
by: Xia, Changliang, et al.
Published: (2025)

Training-Free Dataset Pruning for Instance Segmentation
by: Dai, Yalun, et al.
Published: (2025)

Disentangled Noisy Correspondence Learning
by: Dang, Zhuohang, et al.
Published: (2024)

Dataset Distillers Are Good Label Denoisers In the Wild
by: Cheng, Lechao, et al.
Published: (2024)

Modality-Balanced Collaborative Distillation for Multi-Modal Domain Generalization
by: Wang, Xiaohan, et al.
Published: (2025)

Beyond Modality Collapse: Representations Blending for Multimodal Dataset Distillation
by: Zhang, Xin, et al.
Published: (2025)

Balanced Image Stylization with Style Matching Score
by: Jiang, Yuxin, et al.
Published: (2025)

Personalized Vision via Visual In-Context Learning
by: Jiang, Yuxin, et al.
Published: (2025)

WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection
by: Zi, Bojia, et al.
Published: (2021)

Olaf-World: Orienting Latent Actions for Video World Modeling
by: Jiang, Yuxin, et al.
Published: (2026)

Temporal Saliency-Guided Distillation: A Scalable Framework for Distilling Video Datasets
by: Gu, Xulin, et al.
Published: (2025)

Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality
by: Wang, Hu, et al.
Published: (2023)

EVL-ECG: Efficient ECG Interpretation With Multi-Aspect Heterogeneous Knowledge Distillation
by: Hong, Dang Nguyen, et al.
Published: (2026)

Exploring the Impact of Dataset Bias on Dataset Distillation
by: Lu, Yao, et al.
Published: (2024)

Ground-A-Score: Scaling Up the Score Distillation for Multi-Attribute Editing
by: Chang, Hangeol, et al.
Published: (2024)

SCaRL- A Synthetic Multi-Modal Dataset for Autonomous Driving
by: Ramesh, Avinash Nittur, et al.
Published: (2024)

Towards Trustworthy Dataset Distillation
by: Ma, Shijie, et al.
Published: (2023)

Large-Scale Dataset and Benchmark for Skin Tone Classification in the Wild
by: Matias, Vitor Pereira, et al.
Published: (2026)

HULFSynth : An INR based Super-Resolution and Ultra Low-Field MRI Synthesis via Contrast factor estimation
by: Indrakanti, Pranav, et al.
Published: (2025)

Building Age Estimation: A New Multi-Modal Benchmark Dataset and Community Challenge
by: Dionelis, Nikolaos, et al.
Published: (2025)

mmHSense: Multi-Modal and Distributed mmWave ISAC Datasets for Human Sensing
by: Bhat, Nabeel Nisar, et al.
Published: (2025)

Boosting Transferability in Vision-Language Attacks via Diversification along the Intersection Region of Adversarial Trajectory
by: Gao, Sensen, et al.
Published: (2024)

A Generalization Theory of Cross-Modality Distillation with Contrastive Learning
by: Lin, Hangyu, et al.
Published: (2024)

Understanding Dataset Distillation via Spectral Filtering
by: Bo, Deyu, et al.
Published: (2025)

M2Distill: Multi-Modal Distillation for Lifelong Imitation Learning
by: Roy, Kaushik, et al.
Published: (2024)

Improve Cross-Architecture Generalization on Dataset Distillation
by: Zhou, Binglin, et al.
Published: (2024)

MST-Distill: Mixture of Specialized Teachers for Cross-Modal Knowledge Distillation
by: Li, Hui, et al.
Published: (2025)

Multi-Modal Data-Efficient 3D Scene Understanding for Autonomous Driving
by: Kong, Lingdong, et al.
Published: (2024)

An Open and Large-Scale Dataset for Multi-Modal Climate Change-aware Crop Yield Predictions
by: Lin, Fudong, et al.
Published: (2024)

MetaWild: A Multimodal Dataset for Animal Re-Identification with Environmental Metadata
by: Li, Yuzhuo, et al.
Published: (2025)

Improving Diversity in Black-box Few-shot Knowledge Distillation
by: Vo, Tri-Nhan, et al.
Published: (2026)

Insect Identification in the Wild: The AMI Dataset
by: Jain, Aditya, et al.
Published: (2024)