Image de couverture de livre

Any-to-Any Learning in Computational Pathology via Triplet Multimodal Pretraining

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Sun, Qichen, Guo, Zhengrui, Peng, Rui, Chen, Hao, Wang, Jinzhuo
Format:	Preprint
Publié:	2025
Sujets:	Computer Vision and Pattern Recognition Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

FOCUS: Knowledge-enhanced Adaptive Visual Compression for Few-shot Whole Slide Image Classification
par: Guo, Zhengrui, et autres
Publié: (2024)

Animate Any Character in Any World
par: Wang, Yitong, et autres
Publié: (2025)

AnyMo: Scaling Any-Modality Conditional Motion Generation with Masked Modeling
par: Li, Yiheng, et autres
Publié: (2026)

Context Matters: Query-aware Dynamic Long Sequence Modeling of Gigapixel Images
par: Guo, Zhengrui, et autres
Publié: (2025)

AnyFit: Controllable Virtual Try-on for Any Combination of Attire Across Any Scenario
par: Li, Yuhan, et autres
Publié: (2024)

AnySR: Realizing Image Super-Resolution as Any-Scale, Any-Resource
par: Zhan, Wengyi, et autres
Publié: (2024)

Any-to-Any Vision-Language Model for Multimodal X-ray Imaging and Radiological Report Generation
par: Molino, Daniele, et autres
Publié: (2025)

Any2Caption:Interpreting Any Condition to Caption for Controllable Video Generation
par: Wu, Shengqiong, et autres
Publié: (2025)

AnyTrans: Translate AnyText in the Image with Large Scale Models
par: Qian, Zhipeng, et autres
Publié: (2024)

Depth Anything at Any Condition
par: Sun, Boyuan, et autres
Publié: (2025)

AnyTSR: Any-Scale Thermal Super-Resolution for UAV
par: Li, Mengyuan, et autres
Publié: (2025)

Unaligning Everything: Or Aligning Any Text to Any Image in Multimodal Models
par: Salman, Shaeke, et autres
Publié: (2024)

AnyTop: Character Animation Diffusion with Any Topology
par: Gat, Inbar, et autres
Publié: (2025)

Segment Any Anomaly without Training via Hybrid Prompt Regularization
par: Cao, Yunkang, et autres
Publié: (2023)

Depth Any Camera: Zero-Shot Metric Depth Estimation from Any Camera
par: Guo, Yuliang, et autres
Publié: (2025)

Recognize Any Regions
par: Yang, Haosen, et autres
Publié: (2023)

AnyPattern: Towards In-context Image Copy Detection
par: Wang, Wenhao, et autres
Publié: (2024)

Any4D: Open-Prompt 4D Generation from Natural Language and Images
par: Li, Hao, et autres
Publié: (2025)

AnyFlow: Any-Step Video Diffusion Model with On-Policy Flow Map Distillation
par: Gu, Yuchao, et autres
Publié: (2026)

X2SAM: Any Segmentation in Images and Videos
par: Wang, Hao, et autres
Publié: (2026)

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning
par: Zheng, Chengyu, et autres
Publié: (2025)

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study
par: Wang, Yuhan, et autres
Publié: (2026)

Any Target Can be Offense: Adversarial Example Generation via Generalized Latent Infection
par: Sun, Youheng, et autres
Publié: (2024)

Compress Any Segment Anything Model (SAM)
par: Fan, Juntong, et autres
Publié: (2025)

Generative Unlearning for Any Identity
par: Seo, Juwon, et autres
Publié: (2024)

X-SAM: From Segment Anything to Any Segmentation
par: Wang, Hao, et autres
Publié: (2025)

One Model to Translate Them All: Universal Any-to-Any Translation for Heterogeneous Collaborative Perception
par: Li, Yang, et autres
Publié: (2026)

Neural Gaffer: Relighting Any Object via Diffusion
par: Jin, Haian, et autres
Publié: (2024)

Grasp Any Region: Towards Precise, Contextual Pixel Understanding for Multimodal LLMs
par: Wang, Haochen, et autres
Publié: (2025)

NExT-OMNI: Towards Any-to-Any Omnimodal Foundation Models with Discrete Flow Matching
par: Luo, Run, et autres
Publié: (2025)

AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks
par: Ku, Max, et autres
Publié: (2024)

ConceptSeg-R1: Segment Any Concept via Meta-Reinforcement Learning
par: Zhao, Yuan, et autres
Publié: (2026)

Any-to-Bokeh: Arbitrary-Subject Video Refocusing with Video Diffusion Model
par: Yang, Yang, et autres
Publié: (2025)

Label-Efficient Deep Learning in Medical Image Analysis: Challenges and Future Directions
par: Jin, Cheng, et autres
Publié: (2023)

MAGREF: Masked Guidance for Any-Reference Video Generation with Subject Disentanglement
par: Deng, Yufan, et autres
Publié: (2025)

ATI: Any Trajectory Instruction for Controllable Video Generation
par: Wang, Angtian, et autres
Publié: (2025)

Navigation with VLM framework: Towards Going to Any Language
par: Yin, Zecheng, et autres
Publié: (2024)

Discovering Pathology Rationale and Token Allocation for Efficient Multimodal Pathology Reasoning
par: Xu, Zhe, et autres
Publié: (2025)

Segment Any 3D Object with Language
par: Lee, Seungjun, et autres
Publié: (2024)

Depth Any Video with Scalable Synthetic Data
par: Yang, Honghui, et autres
Publié: (2024)