Copertina

Adaptive Patching for High-resolution Image Segmentation with Transformers

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhang, Enzhi, Lyngaas, Isaac, Chen, Peng, Wang, Xiao, Igarashi, Jun, Huo, Yuankai, Wahib, Mohamed, Munetomo, Masaharu
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

High Quality Segmentation for Ultra High-resolution Images
di: Shen, Tiancheng, et al.
Pubblicazione: (2021)

ExtremeMETA: High-speed Lightweight Image Segmentation Model by Remodeling Multi-channel Metamaterial Imagers
di: Liu, Quan, et al.
Pubblicazione: (2024)

Post-Training Quantization for 3D Medical Image Segmentation: A Practical Study on Real Inference Engines
di: Qu, Chongyu, et al.
Pubblicazione: (2025)

Vision Transformer-Conditioned UNet for Domain-Adaptive Semantic Segmentation
di: Ortega, Joel Valdivia, et al.
Pubblicazione: (2026)

Adaptive Morph-Patch Transformer for Aortic Vessel Segmentation
di: Zhang, Zhenxi, et al.
Pubblicazione: (2025)

Accelerating Vision Transformers with Adaptive Patch Sizes
di: Choudhury, Rohan, et al.
Pubblicazione: (2025)

Car Damage Detection and Patch-to-Patch Self-supervised Image Alignment
di: Chen, Hanxiao
Pubblicazione: (2024)

Disentangling Visual Transformers: Patch-level Interpretability for Image Classification
di: Jeanneret, Guillaume, et al.
Pubblicazione: (2025)

MatchSeg: Towards Better Segmentation via Reference Image Matching
di: Huo, Jiayu, et al.
Pubblicazione: (2024)

Adaptive Patch Contrast for Weakly Supervised Semantic Segmentation
di: Wu, Wangyu, et al.
Pubblicazione: (2024)

KPIs 2024 Challenge: Advancing Glomerular Segmentation from Patch- to Slide-Level
di: Deng, Ruining, et al.
Pubblicazione: (2025)

Entropy Guided Dynamic Patch Segmentation for Time Series Transformers
di: Abeywickrama, Sachith, et al.
Pubblicazione: (2025)

Efficient KernelSHAP Explanations for Patch-based 3D Medical Image Segmentation
di: Brioso, Ricardo Coimbra, et al.
Pubblicazione: (2026)

AdaptiveClick: Clicks-aware Transformer with Adaptive Focal Loss for Interactive Image Segmentation
di: Lin, Jiacheng, et al.
Pubblicazione: (2023)

Dual form Complementary Masking for Domain-Adaptive Image Segmentation
di: Wang, Jiawen, et al.
Pubblicazione: (2025)

Ultra-High Resolution Segmentation via Boundary-Enhanced Patch-Merging Transformer
di: Sun, Haopeng, et al.
Pubblicazione: (2024)

Adaptive High-Frequency Transformer for Diverse Wildlife Re-Identification
di: Li, Chenyue, et al.
Pubblicazione: (2024)

Swin-TUNA : A Novel PEFT Approach for Accurate Food Image Segmentation
di: Chen, Haotian, et al.
Pubblicazione: (2025)

MSA2-Net: Utilizing Self-Adaptive Convolution Module to Extract Multi-Scale Information in Medical Image Segmentation
di: Deng, Chao, et al.
Pubblicazione: (2025)

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

HRVVS: A High-resolution Video Vasculature Segmentation Network via Hierarchical Autoregressive Residual Priors
di: Yao, Xincheng, et al.
Pubblicazione: (2025)

Concept-Based Masking: A Patch-Agnostic Defense Against Adversarial Patch Attacks
di: Mehrotra, Ayushi, et al.
Pubblicazione: (2025)

DDiT: Dynamic Patch Scheduling for Efficient Diffusion Transformers
di: Kim, Dahye, et al.
Pubblicazione: (2026)

Improved Ear Verification with Vision Transformers and Overlapping Patches
di: Arun, Deeksha, et al.
Pubblicazione: (2025)

A Contrastive Learning Scheme with Transformer Innate Patches
di: Jyhne, Sander Riisøen, et al.
Pubblicazione: (2023)

Efficient Search of Implantable Adaptive Cells for Medical Image Segmentation
di: Benedykciuk, Emil, et al.
Pubblicazione: (2026)

Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches
di: Wu, Lingxuan, et al.
Pubblicazione: (2024)

PlankFormer: Robust Plankton Instance Segmentation via MAE-Pretrained Vision Transformers and Pseudo Community Image Generation
di: Miyazaki, Masaharu, et al.
Pubblicazione: (2026)

Persistence Image from 3D Medical Image: Superpixel and Optimized Gaussian Coefficient
di: Zhu, Yanfan, et al.
Pubblicazione: (2024)

Knowledge Transfer Scaling Laws for 3D Medical Imaging
di: Lee, Ho Hin, et al.
Pubblicazione: (2026)

ContourFormer: Real-Time Contour-Based End-to-End Instance Segmentation Transformer
di: Yao, Weiwei, et al.
Pubblicazione: (2025)

DDS-UDA: Dual-Domain Synergy for Unsupervised Domain Adaptation in Joint Segmentation of Optic Disc and Optic Cup
di: Xiao, Yusong, et al.
Pubblicazione: (2026)

Progressive Growing of Patch Size: Curriculum Learning for Accelerated and Improved Medical Image Segmentation
di: Fischer, Stefan M., et al.
Pubblicazione: (2025)

Lagrange Duality and Compound Multi-Attention Transformer for Semi-Supervised Medical Image Segmentation
di: Zheng, Fuchen, et al.
Pubblicazione: (2024)

Promoting Segment Anything Model towards Highly Accurate Dichotomous Image Segmentation
di: Liu, Xianjie, et al.
Pubblicazione: (2023)

Cross-Model Transferability of Adversarial Patches in Real-time Segmentation for Autonomous Driving
di: Shekhar, Prashant, et al.
Pubblicazione: (2025)

Advancing Medical Image Segmentation: Morphology-Driven Learning with Diffusion Transformer
di: Kang, Sungmin, et al.
Pubblicazione: (2024)

Semantic Localization Guiding Segment Anything Model For Reference Remote Sensing Image Segmentation
di: Li, Shuyang, et al.
Pubblicazione: (2025)

HRSAM: Efficient Interactive Segmentation in High-Resolution Images
di: Huang, You, et al.
Pubblicazione: (2024)

Patch-enhanced Mask Encoder Prompt Image Generation
di: Xu, Shusong, et al.
Pubblicazione: (2024)