Exploring 3D Dataset Pruning
Fuente:
arXiv
Guardado en:
| Autores principales: | Zhao, Xiaohan, Shang, Xinyi, Liu, Jiacheng, Shen, Zhiqiang |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Open CaptchaWorld: A Comprehensive Web-based Platform for Testing and Benchmarking Multimodal LLM Agents
por: Luo, Yaxin, et al.
Publicado: (2025)
por: Luo, Yaxin, et al.
Publicado: (2025)
A Frustratingly Simple Yet Highly Effective Attack Baseline: Over 90% Success Rate Against the Strong Black-box Models of GPT-4.5/4o/o1
por: Li, Zhaoyi, et al.
Publicado: (2025)
por: Li, Zhaoyi, et al.
Publicado: (2025)
Pushing the Frontier of Black-Box LVLM Attacks via Fine-Grained Detail Targeting
por: Zhao, Xiaohan, et al.
Publicado: (2026)
por: Zhao, Xiaohan, et al.
Publicado: (2026)
BiGain: Unified Token Compression for Joint Generation and Classification
por: Liu, Jiacheng, et al.
Publicado: (2026)
por: Liu, Jiacheng, et al.
Publicado: (2026)
From Masks to Pixels and Meaning: A New Taxonomy, Benchmark, and Metrics for VLM Image Tampering
por: Shang, Xinyi, et al.
Publicado: (2026)
por: Shang, Xinyi, et al.
Publicado: (2026)
GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost
por: Shang, Xinyi, et al.
Publicado: (2024)
por: Shang, Xinyi, et al.
Publicado: (2024)
MosaicDiff: Training-free Structural Pruning for Diffusion Model Acceleration Reflecting Pretraining Dynamics
por: Guo, Bowei, et al.
Publicado: (2025)
por: Guo, Bowei, et al.
Publicado: (2025)
Large-scale Dataset Pruning with Dynamic Uncertainty
por: He, Muyang, et al.
Publicado: (2023)
por: He, Muyang, et al.
Publicado: (2023)
Multimodal-Guided Dynamic Dataset Pruning for Robust and Efficient Data-Centric Learning
por: Yang, Suorong, et al.
Publicado: (2025)
por: Yang, Suorong, et al.
Publicado: (2025)
FADRM: Fast and Accurate Data Residual Matching for Dataset Distillation
por: Cui, Jiacheng, et al.
Publicado: (2025)
por: Cui, Jiacheng, et al.
Publicado: (2025)
LoRAPrune: Structured Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning
por: Zhang, Mingyang, et al.
Publicado: (2023)
por: Zhang, Mingyang, et al.
Publicado: (2023)
Training-Free Dataset Pruning for Instance Segmentation
por: Dai, Yalun, et al.
Publicado: (2025)
por: Dai, Yalun, et al.
Publicado: (2025)
Dataset Distillation via Curriculum Data Synthesis in Large Data Era
por: Yin, Zeyuan, et al.
Publicado: (2023)
por: Yin, Zeyuan, et al.
Publicado: (2023)
Exploring Token Pruning in Vision State Space Models
por: Zhan, Zheng, et al.
Publicado: (2024)
por: Zhan, Zheng, et al.
Publicado: (2024)
Extending Dataset Pruning to Object Detection: A Variance-based Approach
por: Yagi, Ryota
Publicado: (2025)
por: Yagi, Ryota
Publicado: (2025)
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy
por: Vishniakov, Kirill, et al.
Publicado: (2023)
por: Vishniakov, Kirill, et al.
Publicado: (2023)
TSP3D: Text-guided Sparse Voxel Pruning for Efficient 3D Visual Grounding
por: Guo, Wenxuan, et al.
Publicado: (2025)
por: Guo, Wenxuan, et al.
Publicado: (2025)
Hard Labels In! Rethinking the Role of Hard Labels in Mitigating Local Semantic Drift
por: Cui, Jiacheng, et al.
Publicado: (2025)
por: Cui, Jiacheng, et al.
Publicado: (2025)
Elucidating the Design Space of Dataset Condensation
por: Shao, Shitong, et al.
Publicado: (2024)
por: Shao, Shitong, et al.
Publicado: (2024)
Exploring the Impact of Dataset Bias on Dataset Distillation
por: Lu, Yao, et al.
Publicado: (2024)
por: Lu, Yao, et al.
Publicado: (2024)
Clean-GS: Semantic Mask-Guided Pruning for 3D Gaussian Splatting
por: Mishra, Subhankar
Publicado: (2026)
por: Mishra, Subhankar
Publicado: (2026)
Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective
por: Yin, Zeyuan, et al.
Publicado: (2023)
por: Yin, Zeyuan, et al.
Publicado: (2023)
MotionGS: Exploring Explicit Motion Guidance for Deformable 3D Gaussian Splatting
por: Zhu, Ruijie, et al.
Publicado: (2024)
por: Zhu, Ruijie, et al.
Publicado: (2024)
Skeleton-based Robust Registration Framework for Corrupted 3D Point Clouds
por: Wang, Yongqiang, et al.
Publicado: (2025)
por: Wang, Yongqiang, et al.
Publicado: (2025)
Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning
por: Zhang, Xin, et al.
Publicado: (2023)
por: Zhang, Xin, et al.
Publicado: (2023)
PUP 3D-GS: Principled Uncertainty Pruning for 3D Gaussian Splatting
por: Hanson, Alex, et al.
Publicado: (2024)
por: Hanson, Alex, et al.
Publicado: (2024)
Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape
por: Xu, Jiacong, et al.
Publicado: (2023)
por: Xu, Jiacong, et al.
Publicado: (2023)
Explore the vulnerability of black-box models via diffusion models
por: Shi, Jiacheng, et al.
Publicado: (2025)
por: Shi, Jiacheng, et al.
Publicado: (2025)
Adaptive Sharpness-Aware Pruning for Robust Sparse Networks
por: Bair, Anna, et al.
Publicado: (2023)
por: Bair, Anna, et al.
Publicado: (2023)
DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillation
por: Shen, Zhiqiang, et al.
Publicado: (2024)
por: Shen, Zhiqiang, et al.
Publicado: (2024)
GLASS: Geometry-aware Local Alignment and Structure Synchronization Network for 2D-3D Registration
por: Cheng, Zhixin, et al.
Publicado: (2026)
por: Cheng, Zhixin, et al.
Publicado: (2026)
Exploring Kolmogorov-Arnold networks for realistic image sharpness assessment
por: Yu, Shaode, et al.
Publicado: (2024)
por: Yu, Shaode, et al.
Publicado: (2024)
Batch Loss Score for Dynamic Data Pruning
por: Zhou, Qing, et al.
Publicado: (2026)
por: Zhou, Qing, et al.
Publicado: (2026)
Language-Pretraining-Induced Bias: A Strong Foundation for General Vision Tasks
por: Luo, Yaxin, et al.
Publicado: (2026)
por: Luo, Yaxin, et al.
Publicado: (2026)
Decay Pruning Method: Smooth Pruning With a Self-Rectifying Procedure
por: Yang, Minghao, et al.
Publicado: (2024)
por: Yang, Minghao, et al.
Publicado: (2024)
Multimodal Machine Translation with Visual Scene Graph Pruning
por: Lu, Chenyu, et al.
Publicado: (2025)
por: Lu, Chenyu, et al.
Publicado: (2025)
MARBLE: Multi-Aspect Reward Balance for Diffusion RL
por: Zhao, Canyu, et al.
Publicado: (2026)
por: Zhao, Canyu, et al.
Publicado: (2026)
Adaptive Transformer Attention and Multi-Scale Fusion for Spine 3D Segmentation
por: Xiang, Yanlin, et al.
Publicado: (2025)
por: Xiang, Yanlin, et al.
Publicado: (2025)
LFME: A Simple Framework for Learning from Multiple Experts in Domain Generalization
por: Chen, Liang, et al.
Publicado: (2024)
por: Chen, Liang, et al.
Publicado: (2024)
PruneFuse: Efficient Data Selection via Weight Pruning and Network Fusion
por: Kousar, Humaira, et al.
Publicado: (2026)
por: Kousar, Humaira, et al.
Publicado: (2026)
Ejemplares similares
-
Open CaptchaWorld: A Comprehensive Web-based Platform for Testing and Benchmarking Multimodal LLM Agents
por: Luo, Yaxin, et al.
Publicado: (2025) -
A Frustratingly Simple Yet Highly Effective Attack Baseline: Over 90% Success Rate Against the Strong Black-box Models of GPT-4.5/4o/o1
por: Li, Zhaoyi, et al.
Publicado: (2025) -
Pushing the Frontier of Black-Box LVLM Attacks via Fine-Grained Detail Targeting
por: Zhao, Xiaohan, et al.
Publicado: (2026) -
BiGain: Unified Token Compression for Joint Generation and Classification
por: Liu, Jiacheng, et al.
Publicado: (2026) -
From Masks to Pixels and Meaning: A New Taxonomy, Benchmark, and Metrics for VLM Image Tampering
por: Shang, Xinyi, et al.
Publicado: (2026)