:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Zheng, Runkai, Dasu, Vishnu Asutosh, Wang, Yinong Oliver, Wang, Haohan, De la Torre, Fernando
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition Artificial Intelligence
Accesso online:	https://arxiv.org/abs/2508.01749
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Visual Data Diagnosis and Debiasing with Concept Graphs
di: Chakraborty, Rwiddhi, et al.
Pubblicazione: (2024)

Robustness of Vision Language Models Against Split-Image Harmful Input Attacks
di: Rashid, Md Rafi Ur, et al.
Pubblicazione: (2026)

Unsupervised Model Diagnosis
di: Wang, Yinong Oliver, et al.
Pubblicazione: (2024)

Simple Unsupervised Knowledge Distillation With Space Similarity
di: Singh, Aditya, et al.
Pubblicazione: (2024)

Dataset Distillation via the Wasserstein Metric
di: Liu, Haoyang, et al.
Pubblicazione: (2023)

Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models
di: Zhou, Andy, et al.
Pubblicazione: (2023)

Privacy-Preserving Data Deduplication for Enhancing Federated Learning of Language Models (Extended Version)
di: Abadi, Aydin, et al.
Pubblicazione: (2024)

Not All Samples Should Be Utilized Equally: Towards Understanding and Improving Dataset Distillation
di: Wang, Shaobo, et al.
Pubblicazione: (2024)

CA-W3D: Leveraging Context-Aware Knowledge for Weakly Supervised Monocular 3D Detection
di: Liu, Chupeng, et al.
Pubblicazione: (2025)

CusEnhancer: A Zero-Shot Scene and Controllability Enhancement Method for Photo Customization via ResInversion
di: Ren, Maoye, et al.
Pubblicazione: (2025)

D3S2: Diffusion-Guided Dataset Distillation for Semantic Segmentation
di: Zheng, Wenjie, et al.
Pubblicazione: (2026)

Boosting 3D Neuron Segmentation with 2D Vision Transformer Pre-trained on Natural Images
di: Cheng, Yik San, et al.
Pubblicazione: (2024)

HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding
di: Shi, Yanzhao, et al.
Pubblicazione: (2025)

Noise Injection: Improving Out-of-Distribution Generalization for Limited Size Datasets
di: Mai, Duong, et al.
Pubblicazione: (2025)

FedDP: Privacy-preserving method based on federated learning for histopathology image segmentation
di: Pan, Liangrui, et al.
Pubblicazione: (2024)

Towards Principled Dataset Distillation: A Spectral Distribution Perspective
di: Wu, Ruixi, et al.
Pubblicazione: (2026)

Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning
di: Chen, Junkai, et al.
Pubblicazione: (2026)

Mitigating Bias in Dataset Distillation
di: Cui, Justin, et al.
Pubblicazione: (2024)

FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation
di: Ma, Hongxu, et al.
Pubblicazione: (2026)

FabricDiffusion: High-Fidelity Texture Transfer for 3D Garments Generation from In-The-Wild Clothing Images
di: Zhang, Cheng, et al.
Pubblicazione: (2024)

GarmentCrafter: Progressive Novel View Synthesis for Single-View 3D Garment Reconstruction and Editing
di: Wang, Yuanhao, et al.
Pubblicazione: (2025)

Distill the Best, Ignore the Rest: Improving Dataset Distillation with Loss-Value-Based Pruning
di: Moser, Brian B., et al.
Pubblicazione: (2024)

Label-Augmented Dataset Distillation
di: Kang, Seoungyoon, et al.
Pubblicazione: (2024)

VirPro: Visual-referred Probabilistic Prompt Learning for Weakly-Supervised Monocular 3D Detection
di: Liu, Chupeng, et al.
Pubblicazione: (2026)

Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios
di: Wang, Kai, et al.
Pubblicazione: (2024)

Progressive Knowledge Distillation Of Stable Diffusion XL Using Layer Level Loss
di: Gupta, Yatharth, et al.
Pubblicazione: (2024)

Improving the Transferability of Adversarial Examples by Inverse Knowledge Distillation
di: Wu, Wenyuan, et al.
Pubblicazione: (2025)

See Through the Noise: Improving Domain Generalization in Gaze Estimation
di: Peng, Yanming, et al.
Pubblicazione: (2026)

Dataset Distillation via Committee Voting
di: Cui, Jiacheng, et al.
Pubblicazione: (2025)

DMGD: Train-Free Dataset Distillation with Semantic-Distribution Matching in Diffusion Models
di: Wang, Qichao, et al.
Pubblicazione: (2026)

On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm
di: Sun, Peng, et al.
Pubblicazione: (2023)

Privacy-Preserving Model Transcription with Differentially Private Synthetic Distillation
di: Liu, Bochao, et al.
Pubblicazione: (2026)

Robust Noisy Label Learning via Two-Stream Sample Distillation
di: Bai, Sihan, et al.
Pubblicazione: (2024)

Improved Noise Schedule for Diffusion Training
di: Hang, Tiankai, et al.
Pubblicazione: (2024)

Behave Your Motion: Habit-preserved Cross-category Animal Motion Transfer
di: Zhang, Zhimin, et al.
Pubblicazione: (2025)

Hyperbolic Dataset Distillation
di: Li, Wenyuan, et al.
Pubblicazione: (2025)

Generate E-commerce Product Background by Integrating Category Commonality and Personalized Style
di: Wang, Haohan, et al.
Pubblicazione: (2023)

Taming Diffusion for Dataset Distillation with High Representativeness
di: Zhao, Lin, et al.
Pubblicazione: (2025)

Graph-Based Cross-Domain Knowledge Distillation for Cross-Dataset Text-to-Image Person Retrieval
di: Luo, Bingjun, et al.
Pubblicazione: (2025)

CCUP: A Controllable Synthetic Data Generation Pipeline for Pretraining Cloth-Changing Person Re-Identification Models
di: Zhao, Yujian, et al.
Pubblicazione: (2024)