:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhao, Dongjia, Qi, Lei, Shi, Xiao, Shi, Yinghuan, Geng, Xin
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	https://arxiv.org/abs/2308.00918
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Patch-aware Batch Normalization for Improving Cross-domain Robustness
di: Qi, Lei, et al.
Pubblicazione: (2023)

NormAUG: Normalization-guided Augmentation for Domain Generalization
di: Qi, Lei, et al.
Pubblicazione: (2023)

MultiMatch: Multi-task Learning for Semi-supervised Domain Generalization
di: Qi, Lei, et al.
Pubblicazione: (2022)

Generalizable Metric Network for Cross-domain Person Re-identification
di: Qi, Lei, et al.
Pubblicazione: (2023)

SETA: Semantic-Aware Token Augmentation for Domain Generalization
di: Guo, Jintao, et al.
Pubblicazione: (2024)

Learn to Preserve and Diversify: Parameter-Efficient Group with Orthogonal Regularization for Domain Generalization
di: Hu, Jiajun, et al.
Pubblicazione: (2024)

START: A Generalized State Space Model with Saliency-Driven Token-Aware Transformation
di: Guo, Jintao, et al.
Pubblicazione: (2024)

Unleashing the Power of Intermediate Domains for Mixed Domain Semi-Supervised Medical Image Segmentation
di: Ma, Qinghe, et al.
Pubblicazione: (2025)

Background Matters: A Cross-view Bidirectional Modeling Framework for Semi-supervised Medical Image Segmentation
di: Cao, Luyang, et al.
Pubblicazione: (2025)

Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation
di: Ma, Qinghe, et al.
Pubblicazione: (2024)

Steady Progress Beats Stagnation: Mutual Aid of Foundation and Conventional Models in Mixed Domain Semi-Supervised Medical Image Segmentation
di: Ma, Qinghe, et al.
Pubblicazione: (2025)

One Token, Two Fates: A Unified Framework via Vision Token Manipulation Against MLLMs Hallucination
di: Fa, Zhan, et al.
Pubblicazione: (2026)

Divide-and-Conquer for Enhancing Unlabeled Learning, Stability, and Plasticity in Semi-supervised Continual Learning
di: Duan, Yue, et al.
Pubblicazione: (2025)

An Adaptor for Triggering Semi-Supervised Learning to Out-of-Box Serve Deep Image Clustering
di: Duan, Yue, et al.
Pubblicazione: (2025)

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP
di: Li, Yayuan, et al.
Pubblicazione: (2024)

Correspondence as Video: Test-Time Adaption on SAM2 for Reference Segmentation in the Wild
di: Wang, Haoran, et al.
Pubblicazione: (2025)

Learning Generalizable Models via Disentangling Spurious and Enhancing Potential Correlations
di: Wang, Na, et al.
Pubblicazione: (2024)

Decomposing and Composing: Towards Efficient Vision-Language Continual Learning via Rank-1 Expert Pool in a Single LoRA
di: Fa, Zhan, et al.
Pubblicazione: (2026)

DPStyler: Dynamic PromptStyler for Source-Free Domain Generalization
di: Tang, Yunlong, et al.
Pubblicazione: (2024)

Stitching, Fine-tuning, Re-training: A SAM-enabled Framework for Semi-supervised 3D Medical Image Segmentation
di: Li, Shumeng, et al.
Pubblicazione: (2024)

Taste More, Taste Better: Diverse Data and Strong Model Boost Semi-Supervised Crowd Counting
di: Yang, Maochen, et al.
Pubblicazione: (2025)

Balancing Multi-Target Semi-Supervised Medical Image Segmentation with Collaborative Generalist and Specialists
di: Wang, You, et al.
Pubblicazione: (2025)

The Devil is in the Statistics: Mitigating and Exploiting Statistics Difference for Generalizable Semi-supervised Medical Image Segmentation
di: Qiu, Muyang, et al.
Pubblicazione: (2024)

WeakMedSAM: Weakly-Supervised Medical Image Segmentation via SAM with Sub-Class Exploration and Prompt Affinity Mining
di: Wang, Haoran, et al.
Pubblicazione: (2025)

Diversity-enhanced Collaborative Mamba for Semi-supervised Medical Image Segmentation
di: Li, Shumeng, et al.
Pubblicazione: (2025)

Mamba-Sea: A Mamba-based Framework with Global-to-Local Sequence Augmentation for Generalizable Medical Image Segmentation
di: Cheng, Zihan, et al.
Pubblicazione: (2025)

BatStyler: Advancing Multi-category Style Generation for Source-free Domain Generalization
di: Xu, Xiusheng, et al.
Pubblicazione: (2025)

Diffusion-Based Data Augmentation for Image Recognition: A Systematic Analysis and Evaluation
di: Li, Zekun, et al.
Pubblicazione: (2026)

Duala: Dual-Level Alignment of Subjects and Stimuli for Cross-Subject fMRI Decoding
di: Li, Shumeng, et al.
Pubblicazione: (2026)

Towards Perfection: Building Inter-component Mutual Correction for Retinex-based Low-light Image Enhancement
di: Cao, Luyang, et al.
Pubblicazione: (2025)

CLIP-DFGS: A Hard Sample Mining Method for CLIP in Generalizable Person Re-Identification
di: Zhao, Huazhong, et al.
Pubblicazione: (2024)

PC$^2$: Pseudo-Classification Based Pseudo-Captioning for Noisy Correspondence Learning in Cross-Modal Retrieval
di: Duan, Yue, et al.
Pubblicazione: (2024)

CILP-FGDI: Exploiting Vision-Language Model for Generalizable Person Re-Identification
di: Zhao, Huazhong, et al.
Pubblicazione: (2025)

DeferredSeg: A Multi-Expert Deferral Framework for Trustworthy Medical Image Segmentation
di: Tian, Qiuyu, et al.
Pubblicazione: (2026)

HEAL: Learning-Free Source Free Unsupervised Domain Adaptation for Cross-Modality Medical Image Segmentation
di: Shi, Yulong, et al.
Pubblicazione: (2025)

StableMind: Source-Free Cross-Subject fMRI Decoding with Regularized Adaptation
di: Guo, Jintao, et al.
Pubblicazione: (2026)

A SAM-guided Two-stream Lightweight Model for Anomaly Detection
di: Li, Chenghao, et al.
Pubblicazione: (2024)

Dual-Teacher Ensemble Models with Double-Copy-Paste for 3D Semi-Supervised Medical Image Segmentation
di: Fa, Zhan, et al.
Pubblicazione: (2024)

Diff-CL: A Novel Cross Pseudo-Supervision Method for Semi-supervised Medical Image Segmentation
di: Guo, Xiuzhen, et al.
Pubblicazione: (2025)

MAGIC: Achieving Superior Model Merging via Magnitude Calibration
di: Li, Yayuan, et al.
Pubblicazione: (2025)