:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Feng, Zhanzhou, Zhang, Shiliang
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	https://arxiv.org/abs/2504.09155
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Continual Self-Supervised Learning with Masked Autoencoders in Remote Sensing
di: Möllenbrok, Lars, et al.
Pubblicazione: (2025)

Frequency-Guided Masking for Enhanced Vision Self-Supervised Learning
di: Monsefi, Amin Karimi, et al.
Pubblicazione: (2024)

HMSViT: A Hierarchical Masked Self-Supervised Vision Transformer for Corneal Nerve Segmentation and Diabetic Neuropathy Diagnosis
di: Zhang, Xin, et al.
Pubblicazione: (2025)

Enhancing SAR Object Detection with Self-Supervised Pre-training on Masked Auto-Encoders
di: Pu, Xinyang, et al.
Pubblicazione: (2025)

Decoupled Contrastive Learning for Long-Tailed Recognition
di: Xuan, Shiyu, et al.
Pubblicazione: (2024)

PixelGen: Improving Pixel Diffusion with Perceptual Supervision
di: Ma, Zehong, et al.
Pubblicazione: (2026)

Joint-Embedding Predictive Architecture for Self-Supervised Learning of Mask Classification Architecture
di: Kim, Dong-Hee, et al.
Pubblicazione: (2024)

Learning Generalizable 3D Medical Image Representations from Mask-Guided Self-Supervision
di: Gao, Yunhe, et al.
Pubblicazione: (2026)

MaskMatch: Boosting Semi-Supervised Learning Through Mask Autoencoder-Driven Feature Learning
di: Zhang, Wenjin, et al.
Pubblicazione: (2024)

CrossVideoMAE: Self-Supervised Image-Video Representation Learning with Masked Autoencoders
di: Ahamed, Shihab Aaqil, et al.
Pubblicazione: (2025)

Bringing Masked Autoencoders Explicit Contrastive Properties for Point Cloud Self-Supervised Learning
di: Ren, Bin, et al.
Pubblicazione: (2024)

Masked Image Modeling as a Framework for Self-Supervised Learning across Eye Movements
di: Weiler, Robin, et al.
Pubblicazione: (2024)

AIM: Amending Inherent Interpretability via Self-Supervised Masking
di: Alshami, Eyad, et al.
Pubblicazione: (2025)

Mask What Matters: Controllable Text-Guided Masking for Self-Supervised Medical Image Analysis
di: Wang, Ruilang, et al.
Pubblicazione: (2025)

Mask & Match: Learning to Recognize Handwritten Math with Self-Supervised Attention
di: Mitra, Shree, et al.
Pubblicazione: (2025)

Selective Masking based Self-Supervised Learning for Image Semantic Segmentation
di: Wang, Yuemin, et al.
Pubblicazione: (2025)

Adaptive Texture-aware Masking for Self-Supervised Learning in 3D Dental CBCT Analysis
di: Yang, Xinquan, et al.
Pubblicazione: (2026)

MiM: Mask in Mask Self-Supervised Pre-Training for 3D Medical Image Analysis
di: Zhuang, Jiaxin, et al.
Pubblicazione: (2024)

Hierarchical Text-to-Vision Self Supervised Alignment for Improved Histopathology Representation Learning
di: Watawana, Hasindri, et al.
Pubblicazione: (2024)

Entropy Reveals Block Importance in Masked Self-Supervised Vision Transformers
di: Xiang, Peihao, et al.
Pubblicazione: (2026)

HEX: Hierarchical Emergence Exploitation in Self-Supervised Algorithms
di: Kokilepersaud, Kiran, et al.
Pubblicazione: (2024)

EvolveReason: Self-Evolving Reasoning Paradigm for Explainable Deepfake Facial Image Identification
di: Zhou, Binjia, et al.
Pubblicazione: (2026)

RI-MAE: Rotation-Invariant Masked AutoEncoders for Self-Supervised Point Cloud Representation Learning
di: Su, Kunming, et al.
Pubblicazione: (2024)

ViC-MAE: Self-Supervised Representation Learning from Images and Video with Contrastive Masked Autoencoders
di: Hernandez, Jefferson, et al.
Pubblicazione: (2023)

PAME: Self-Supervised Masked Autoencoder for No-Reference Point Cloud Quality Assessment
di: Shan, Ziyu, et al.
Pubblicazione: (2024)

Towards Latent Masked Image Modeling for Self-Supervised Visual Representation Learning
di: Wei, Yibing, et al.
Pubblicazione: (2024)

A Strong Baseline for Semi-Supervised Incremental Few-Shot Learning
di: Zhao, Linglan, et al.
Pubblicazione: (2021)

AMLP: Adjustable Masking Lesion Patches for Self-Supervised Medical Image Segmentation
di: Wang, Xiangtao, et al.
Pubblicazione: (2023)

Erasing Self-Supervised Learning Backdoor by Cluster Activation Masking
di: Qian, Shengsheng, et al.
Pubblicazione: (2023)

Non-Contact Physiological Monitoring in Pediatric Intensive Care Units via Adaptive Masking and Self-Supervised Learning
di: Salah, Mohamed Khalil Ben, et al.
Pubblicazione: (2026)

Asymmetric Mask Scheme for Self-Supervised Real Image Denoising
di: Liao, Xiangyu, et al.
Pubblicazione: (2024)

Masked Scene Modeling: Narrowing the Gap Between Supervised and Self-Supervised Learning in 3D Scene Understanding
di: Hermosilla, Pedro, et al.
Pubblicazione: (2025)

GeoMask3D: Geometrically Informed Mask Selection for Self-Supervised Point Cloud Learning in 3D
di: Bahri, Ali, et al.
Pubblicazione: (2024)

MaskAnyNet: Rethinking Masked Image Regions as Valuable Information in Supervised Learning
di: Hong, Jingshan, et al.
Pubblicazione: (2025)

H-SemiS: Hierarchical Fusion of Semi and Self-Supervised Learning for Knee Osteoarthritis Severity Grading
di: Raghaw, Chandravardhan Singh, et al.
Pubblicazione: (2026)

Investigating Self-Supervised Methods for Label-Efficient Learning
di: Nandam, Srinivasa Rao, et al.
Pubblicazione: (2024)

Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision
di: Yan, Weicai, et al.
Pubblicazione: (2025)

UM-Depth : Uncertainty Masked Self-Supervised Monocular Depth Estimation with Visual Odometry
di: Um, Tae-Wook, et al.
Pubblicazione: (2025)

Self-Evolving Depth-Supervised 3D Gaussian Splatting from Rendered Stereo Pairs
di: Safadoust, Sadra, et al.
Pubblicazione: (2024)

Information Flow in Self-Supervised Learning
di: Tan, Zhiquan, et al.
Pubblicazione: (2023)