Cover Image

LoftUp: Learning a Coordinate-Based Feature Upsampler for Vision Foundation Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Huang, Haiwen, Chen, Anpei, Havrylov, Volodymyr, Geiger, Andreas, Zhang, Dan
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning Image and Video Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Benchmarking Feature Upsampling Methods for Vision Foundation Models using Interactive Segmentation
by: Havrylov, Volodymyr, et al.
Published: (2025)

Co-learning Single-Step Diffusion Upsampler and Downsampler with Two Discriminators and Distillation
by: Kim, Sohwi, et al.
Published: (2024)

Vision Foundation Models in Medical Image Analysis: Advances and Challenges
by: Liang, Pengchen, et al.
Published: (2025)

Vision Foundation Models for Computed Tomography
by: Pai, Suraj, et al.
Published: (2025)

Downstream Analysis of Foundational Medical Vision Models for Disease Progression
by: Demir, Basar, et al.
Published: (2025)

VisionFM: a Multi-Modal Multi-Task Vision Foundation Model for Generalist Ophthalmic Artificial Intelligence
by: Qiu, Jianing, et al.
Published: (2023)

Knowledge-enhanced Pretraining for Vision-language Pathology Foundation Model on Cancer Diagnosis
by: Zhou, Xiao, et al.
Published: (2024)

Exploring the Effectiveness of Deep Features from Domain-Specific Foundation Models in Retinal Image Synthesis
by: Skorniewska, Zuzanna, et al.
Published: (2025)

Hibou: A Family of Foundational Vision Transformers for Pathology
by: Nechaev, Dmitry, et al.
Published: (2024)

Adapting Medical Vision Foundation Models for Volumetric Medical Image Segmentation via Active Learning and Selective Semi-supervised Fine-tuning
by: Yang, Jin, et al.
Published: (2025)

Dimensional Coactivation for Representational Consistency in Frozen Vision Foundation Models
by: Saddik, Izaldein Al-Zyoud Abdulmotaleb El
Published: (2026)

Cardiac-CLIP: A Vision-Language Foundation Model for 3D Cardiac CT Images
by: Hu, Yutao, et al.
Published: (2025)

Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography
by: Ghosh, Shantanu, et al.
Published: (2024)

Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise
by: Yu, Yeonguk, et al.
Published: (2024)

A Contrastive Learning Foundation Model Based on Perfectly Aligned Sample Pairs for Remote Sensing Images
by: Shen, Hengtong, et al.
Published: (2025)

UNICON: UNIfied CONtinual Learning for Medical Foundational Models
by: Qazi, Mohammad Areeb, et al.
Published: (2025)

Unleashing Vision Foundation Models for Coronary Artery Segmentation: Parallel ViT-CNN Encoding and Variational Fusion
by: Dong, Caixia, et al.
Published: (2025)

Cross-Organ and Cross-Scanner Adenocarcinoma Segmentation using Rein to Fine-tune Vision Foundation Models
by: Cai, Pengzhou, et al.
Published: (2024)

Dino U-Net: Exploiting High-Fidelity Dense Features from Foundation Models for Medical Image Segmentation
by: Li, Haoyue, et al.
Published: (2025)

Advancements in Feature Extraction Recognition of Medical Imaging Systems Through Deep Learning Technique
by: Zhan, Qishi, et al.
Published: (2024)

Research on Deep Learning Model of Feature Extraction Based on Convolutional Neural Network
by: Liu, Houze, et al.
Published: (2024)

HCDN: A Change Detection Network for Construction Housekeeping Using Feature Fusion and Large Vision Models
by: Sun, Kailai, et al.
Published: (2024)

CPLOYO: A Pulmonary Nodule Detection Model with Multi-Scale Feature Fusion and Nonlinear Feature Learning
by: Wang, Meng, et al.
Published: (2025)

Pixel Perfect MegaMed: A Megapixel-Scale Vision-Language Foundation Model for Generating High Resolution Medical Images
by: TehraniNasab, Zahra, et al.
Published: (2025)

GLIDE-Reg: Global-to-Local Deformable Registration Using Co-Optimized Foundation and Handcrafted Features
by: Zhu, Yunzheng, et al.
Published: (2026)

PRETI: Patient-Aware Retinal Foundation Model via Metadata-Guided Representation Learning
by: Lee, Yeonkyung, et al.
Published: (2025)

SCP: Spherical-Coordinate-based Learned Point Cloud Compression
by: Luo, Ao, et al.
Published: (2023)

Prompt-Driven Lightweight Foundation Model for Instance Segmentation-Based Fault Detection in Freight Trains
by: Sun, Guodong, et al.
Published: (2026)

Coordinate-based Neural Network for Fourier Phase Retrieval
by: Li, Tingyou, et al.
Published: (2023)

On the Foundation Model for Cardiac MRI Reconstruction
by: Zhang, Chi, et al.
Published: (2024)

On the Status of Foundation Models for SAR Imagery
by: Inkawhich, Nathan
Published: (2025)

Technical Report: Towards Spatial Feature Regularization in Deep-Learning-Based Array-SAR Reconstruction
by: Ren, Yu, et al.
Published: (2024)

Vision-Language Model Based Multi-Expert Fusion for CT Image Classification
by: Bai, Jianfa, et al.
Published: (2026)

Brain Imaging Foundation Models, Are We There Yet? A Systematic Review of Foundation Models for Brain Imaging and Biomedical Research
by: Ghamizi, Salah, et al.
Published: (2025)

A Clinical Benchmark of Public Self-Supervised Pathology Foundation Models
by: Campanella, Gabriele, et al.
Published: (2024)

Toward DNN of LUTs: Learning Efficient Image Restoration with Multiple Look-Up Tables
by: Li, Jiacheng, et al.
Published: (2023)

DiagR1: A Vision-Language Model Trained via Reinforcement Learning for Digestive Pathology Diagnosis
by: Ouyang, Minxi, et al.
Published: (2025)

Foundation AI Model for Medical Image Segmentation
by: Bao, Rina, et al.
Published: (2024)

Lossy Image Compression with Foundation Diffusion Models
by: Relic, Lucas, et al.
Published: (2024)

Foundation Model for Whole-Heart Segmentation: Leveraging Student-Teacher Learning in Multi-Modal Medical Imaging
by: Qayyum, Abdul, et al.
Published: (2025)