Vector Contrastive Learning For Pixel-Wise Pretraining In Medical Vision

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	He, Yuting, Li, Shuo
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Pixel-Wise Contrastive Distillation
by: Huang, Junqiang, et al.
Published: (2022)

Learning Emergent Modular Representations in Multi-modality Medical Vision Foundation Models
by: He, Yuting, et al.
Published: (2026)

Homeomorphism Prior for False Positive and Negative Problem in Medical Image Dense Contrastive Representation Learning
by: He, Yuting, et al.
Published: (2025)

MRI Contrast Enhancement Kinetics World Model
by: Kong, Jindi, et al.
Published: (2026)

Beyond Pixel-Wise Supervision for Medical Image Segmentation: From Traditional Models to Foundation Models
by: Shi, Yuyan, et al.
Published: (2024)

Pyramid Pixel Context Adaption Network for Medical Image Classification with Supervised Contrastive Learning
by: Zhang, Xiaoqing, et al.
Published: (2023)

Pixel-level Counterfactual Contrastive Learning for Medical Image Segmentation
by: Lafargue-Hauret, Marceau, et al.
Published: (2026)

GECKO: Gigapixel Vision-Concept Contrastive Pretraining in Histopathology
by: Kapse, Saarthak, et al.
Published: (2025)

Revisiting Prompt Pretraining of Vision-Language Models
by: Chen, Zhenyuan, et al.
Published: (2024)

From Panel to Pixel: Zoom-In Vision-Language Pretraining from Biomedical Scientific Literature
by: Yuan, Kun, et al.
Published: (2025)

Layer-Wise Feature Metric of Semantic-Pixel Matching for Few-Shot Learning
by: Tang, Hao, et al.
Published: (2024)

Cluster-Wise Spatio-Temporal Masking for Efficient Video-Language Pretraining
by: Zhuang, Weijun, et al.
Published: (2026)

PCLMix: Weakly Supervised Medical Image Segmentation via Pixel-Level Contrastive Learning and Dynamic Mix Augmentation
by: Lei, Yu, et al.
Published: (2024)

Group-Wise Optimization for Self-Extensible Codebooks in Vector Quantized Models
by: Zheng, Hong-Kai, et al.
Published: (2025)

Uncertainty-Aware Likelihood Ratio Estimation for Pixel-Wise Out-of-Distribution Detection
by: Hölle, Marc, et al.
Published: (2025)

Benchmarking Pretrained Vision Embeddings for Near- and Duplicate Detection in Medical Images
by: Truong, Tuan, et al.
Published: (2023)

Stable Single-Pixel Contrastive Learning for Semantic and Geometric Tasks
by: Pogorelyuk, Leonid, et al.
Published: (2025)

Goal2Pixel: Grounding Goals to Pixels for Vision-Language Navigation
by: Bao, Muyi, et al.
Published: (2026)

PixelWeb: The First Web GUI Dataset with Pixel-Wise Labels
by: Yang, Qi, et al.
Published: (2025)

Towards Pixel-Wise Anomaly Location for High-Resolution PCBA via Self-Supervised Image Reconstruction
by: Liu, Wuyi, et al.
Published: (2025)

Aligning Motion-Blurred Images Using Contrastive Learning on Overcomplete Pixels
by: Pogorelyuk, Leonid, et al.
Published: (2024)

Scene Structure Guidance Network: Unfolding Graph Partitioning into Pixel-Wise Feature Learning
by: Shin, Jisu, et al.
Published: (2023)

CLAP: Contrastive Latent Action Pretraining for Learning Vision-Language-Action Models from Human Videos
by: Zhang, Chubin, et al.
Published: (2026)

Open Access Battle Damage Detection via Pixel-Wise T-Test on Sentinel-1 Imagery
by: Ballinger, Ollie
Published: (2024)

MedKCO: Medical Vision-Language Pretraining via Knowledge-Driven Cognitive Orchestration
by: Zhang, Chenran, et al.
Published: (2026)

OWT: A Foundational Organ-Wise Tokenization Framework for Medical Imaging
by: Song, Sifan, et al.
Published: (2025)

Benchmarking Vision-Language Contrastive Methods for Medical Representation Learning
by: Roy, Shuvendu, et al.
Published: (2024)

Autoregressive Pretraining with Mamba in Vision
by: Ren, Sucheng, et al.
Published: (2024)

PixelVLA: Advancing Pixel-level Understanding in Vision-Language-Action Model
by: Liang, Wenqi, et al.
Published: (2025)

BenchX: A Unified Benchmark Framework for Medical Vision-Language Pretraining on Chest X-Rays
by: Zhou, Yang, et al.
Published: (2024)

Stochastic Layer-Wise Shuffle for Improving Vision Mamba Training
by: Huang, Zizheng, et al.
Published: (2024)

Segmentation-Guided CT Synthesis with Pixel-Wise Conformal Uncertainty Bounds
by: Poch, David Vallmanya, et al.
Published: (2025)

Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation
by: De Vita, Michele, et al.
Published: (2024)

From Pixels to Graphs: Open-Vocabulary Scene Graph Generation with Vision-Language Models
by: Li, Rongjie, et al.
Published: (2024)

No Re-Train, More Gain: Upgrading Backbones with Diffusion model for Pixel-Wise and Weakly-Supervised Few-Shot Segmentation
by: Chen, Shuai, et al.
Published: (2024)

VLS: Steering Pretrained Robot Policies via Vision-Language Models
by: Liu, Shuo, et al.
Published: (2026)

PhenoLIP: Integrating Phenotype Ontology Knowledge into Medical Vision-Language Pretraining
by: Liang, Cheng, et al.
Published: (2026)

In-Pixel Foreground and Contrast Enhancement Circuits with Customizable Mapping
by: Udoy, Md Rahatul Islam, et al.
Published: (2024)

Patch-Wise Hypergraph Contrastive Learning with Dual Normal Distribution Weighting for Multi-Domain Stain Transfer
by: Wei, Haiyan, et al.
Published: (2025)

VIVID-Med: LLM-Supervised Structured Pretraining for Deployable Medical ViTs
by: Wang, Xiyao, et al.
Published: (2026)