Label-Consistent Dataset Distillation with Detector-Guided Refinement
Fuente:
arXiv
Saved in:
| Main Authors: | Zou, Yawen, Li, Guang, Wang, Zi, Gu, Chunzhi, Zhang, Chao |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
EVLF: Early Vision-Language Fusion for Generative Dataset Distillation
by: Cai, Wenqi, et al.
Published: (2026)
by: Cai, Wenqi, et al.
Published: (2026)
Incremental Pseudo-Labeling for Black-Box Unsupervised Domain Adaptation
by: Zou, Yawen, et al.
Published: (2024)
by: Zou, Yawen, et al.
Published: (2024)
Dataset Distillation via Vision-Language Category Prototype
by: Zou, Yawen, et al.
Published: (2025)
by: Zou, Yawen, et al.
Published: (2025)
Multi-Scale Distillation for RGB-D Anomaly Detection on the PD-REAL Dataset
by: Qin, Jianjian, et al.
Published: (2023)
by: Qin, Jianjian, et al.
Published: (2023)
VID-AD: A Dataset for Image-Level Logical Anomaly Detection under Vision-Induced Distraction
by: Nakata, Hiroto, et al.
Published: (2026)
by: Nakata, Hiroto, et al.
Published: (2026)
Pool-Select-Refine: Allocation-Aware Generative Dataset Distillation with Soft-Label-Guided Latent Refinement
by: Li, Wenmin, et al.
Published: (2026)
by: Li, Wenmin, et al.
Published: (2026)
Orientation-Aware Leg Movement Learning for Action-Driven Human Motion Prediction
by: Gu, Chunzhi, et al.
Published: (2023)
by: Gu, Chunzhi, et al.
Published: (2023)
3DKeyAD: High-Resolution 3D Point Cloud Anomaly Detection via Keypoint-Guided Point Clustering
by: Wang, Zi, et al.
Published: (2025)
by: Wang, Zi, et al.
Published: (2025)
Frequency-Guided Multi-Level Human Action Anomaly Detection with Normalizing Flows
by: Maeda, Shun, et al.
Published: (2024)
by: Maeda, Shun, et al.
Published: (2024)
Enhancing Dataset Distillation via Label Inconsistency Elimination and Learning Pattern Refinement
by: Zhou, Chuhao, et al.
Published: (2024)
by: Zhou, Chuhao, et al.
Published: (2024)
Towards Consistent and Efficient Dataset Distillation via Diffusion-Driven Selection
by: Zhong, Xinhao, et al.
Published: (2024)
by: Zhong, Xinhao, et al.
Published: (2024)
SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models
by: Zou, Shu, et al.
Published: (2025)
by: Zou, Shu, et al.
Published: (2025)
Heavy Labels Out! Dataset Distillation with Label Space Lightening
by: Yu, Ruonan, et al.
Published: (2024)
by: Yu, Ruonan, et al.
Published: (2024)
Few-shot Human Action Anomaly Detection via a Unified Contrastive Learning Framework
by: Kamide, Koichiro, et al.
Published: (2025)
by: Kamide, Koichiro, et al.
Published: (2025)
Enhancing Diffusion-based Dataset Distillation via Adversary-Guided Curriculum Sampling
by: Zou, Lexiao, et al.
Published: (2025)
by: Zou, Lexiao, et al.
Published: (2025)
Dataset Distillers Are Good Label Denoisers In the Wild
by: Cheng, Lechao, et al.
Published: (2024)
by: Cheng, Lechao, et al.
Published: (2024)
Diverse Code Query Learning for Speech-Driven Facial Animation
by: Gu, Chunzhi, et al.
Published: (2024)
by: Gu, Chunzhi, et al.
Published: (2024)
Reward Guided Latent Consistency Distillation
by: Li, Jiachen, et al.
Published: (2024)
by: Li, Jiachen, et al.
Published: (2024)
Cross-View Consistency Regularisation for Knowledge Distillation
by: Zhang, Weijia, et al.
Published: (2024)
by: Zhang, Weijia, et al.
Published: (2024)
3D Human-Human Interaction Anomaly Detection
by: Maeda, Shun, et al.
Published: (2025)
by: Maeda, Shun, et al.
Published: (2025)
DMP-3DAD: Cross-Category 3D Anomaly Detection via Realistic Depth Map Projection with Few Normal Samples
by: Wang, Zi, et al.
Published: (2026)
by: Wang, Zi, et al.
Published: (2026)
Efficient Adaptive Label Refinement for Label Noise Learning
by: Zhang, Wenzhen, et al.
Published: (2025)
by: Zhang, Wenzhen, et al.
Published: (2025)
Label-Augmented Dataset Distillation
by: Kang, Seoungyoon, et al.
Published: (2024)
by: Kang, Seoungyoon, et al.
Published: (2024)
Color-Oriented Redundancy Reduction in Dataset Distillation
by: Yuan, Bowen, et al.
Published: (2024)
by: Yuan, Bowen, et al.
Published: (2024)
Vector-Quantized Soft Label Compression for Dataset Distillation
by: Abbasi, Ali, et al.
Published: (2026)
by: Abbasi, Ali, et al.
Published: (2026)
Enhancing Dataset Distillation via Non-Critical Region Refinement
by: Tran, Minh-Tuan, et al.
Published: (2025)
by: Tran, Minh-Tuan, et al.
Published: (2025)
Learnability-Guided Diffusion for Dataset Distillation
by: Chan-Santiago, Jeffrey A., et al.
Published: (2026)
by: Chan-Santiago, Jeffrey A., et al.
Published: (2026)
Temporal Saliency-Guided Distillation: A Scalable Framework for Distilling Video Datasets
by: Gu, Xulin, et al.
Published: (2025)
by: Gu, Xulin, et al.
Published: (2025)
D3S2: Diffusion-Guided Dataset Distillation for Semantic Segmentation
by: Zheng, Wenjie, et al.
Published: (2026)
by: Zheng, Wenjie, et al.
Published: (2026)
Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling
by: Li, Mingzhuo, et al.
Published: (2025)
by: Li, Mingzhuo, et al.
Published: (2025)
Knowledge Distillation with Refined Logits
by: Sun, Wujie, et al.
Published: (2024)
by: Sun, Wujie, et al.
Published: (2024)
Asymmetric Cross-Modal Knowledge Distillation: Bridging Modalities with Weak Semantic Consistency
by: Wei, Riling, et al.
Published: (2025)
by: Wei, Riling, et al.
Published: (2025)
Self-Distilled Depth Refinement with Noisy Poisson Fusion
by: Li, Jiaqi, et al.
Published: (2024)
by: Li, Jiaqi, et al.
Published: (2024)
Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?
by: Xiao, Lingao, et al.
Published: (2024)
by: Xiao, Lingao, et al.
Published: (2024)
Reflecting Topology Consistency and Abnormality via Learnable Attentions for Airway Labeling
by: Li, Chenyu, et al.
Published: (2024)
by: Li, Chenyu, et al.
Published: (2024)
Self-Supervised Place Recognition by Refining Temporal and Featural Pseudo Labels from Panoramic Data
by: Chen, Chao, et al.
Published: (2022)
by: Chen, Chao, et al.
Published: (2022)
Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping
by: Zheng, Jianbin, et al.
Published: (2024)
by: Zheng, Jianbin, et al.
Published: (2024)
TGDD: Trajectory Guided Dataset Distillation with Balanced Distribution
by: Ran, Fengli, et al.
Published: (2025)
by: Ran, Fengli, et al.
Published: (2025)
PCSR: Pseudo-label Consistency-Guided Sample Refinement for Noisy Correspondence Learning
by: Liu, Zhuoyao, et al.
Published: (2025)
by: Liu, Zhuoyao, et al.
Published: (2025)
KD-DETR: Knowledge Distillation for Detection Transformer with Consistent Distillation Points Sampling
by: Wang, Yu, et al.
Published: (2022)
by: Wang, Yu, et al.
Published: (2022)
Similar Items
-
EVLF: Early Vision-Language Fusion for Generative Dataset Distillation
by: Cai, Wenqi, et al.
Published: (2026) -
Incremental Pseudo-Labeling for Black-Box Unsupervised Domain Adaptation
by: Zou, Yawen, et al.
Published: (2024) -
Dataset Distillation via Vision-Language Category Prototype
by: Zou, Yawen, et al.
Published: (2025) -
Multi-Scale Distillation for RGB-D Anomaly Detection on the PD-REAL Dataset
by: Qin, Jianjian, et al.
Published: (2023) -
VID-AD: A Dataset for Image-Level Logical Anomaly Detection under Vision-Induced Distraction
by: Nakata, Hiroto, et al.
Published: (2026)