Cover Image

Free Lunch in Pathology Foundation Model: Task-specific Model Adaptation with Concept-Guided Feature Enhancement

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Huang, Yanyan, Zhao, Weiqin, Chen, Yihang, Fu, Yu, Yu, Lequan
Format:	Preprint
Published:	2024
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

HyperPath: Knowledge-Guided Hyperbolic Semantic Hierarchy Modeling for WSI Analysis
by: Huang, Peixiang, et al.
Published: (2025)

Aligning Knowledge Concepts to Whole Slide Images for Precise Histopathology Image Analysis
by: Zhao, Weiqin, et al.
Published: (2024)

Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis
by: Kumar, Neeraj, et al.
Published: (2025)

A Survey on Computational Pathology Foundation Models: Datasets, Adaptation Strategies, and Evaluation Tasks
by: Li, Dong, et al.
Published: (2025)

Benchmarking Pathology Foundation Models: Adaptation Strategies and Scenarios
by: Lee, Jeaung, et al.
Published: (2024)

Task-Adapter: Task-specific Adaptation of Image Models for Few-shot Action Recognition
by: Cao, Congqi, et al.
Published: (2024)

VISTA: Validation-Guided Integration of Spatial and Temporal Foundation Models with Anatomical Decoding for Rare-Pathology VCE Event Detection
by: Qiu, Bo-Cheng, et al.
Published: (2026)

FreeInv: Free Lunch for Improving DDIM Inversion
by: Bao, Yuxiang, et al.
Published: (2025)

HAAF: Hierarchical Adaptation and Alignment of Foundation Models for Few-Shot Pathology Anomaly Detection
by: Yang, Chunze, et al.
Published: (2026)

CineScale: Free Lunch in High-Resolution Cinematic Visual Generation
by: Qiu, Haonan, et al.
Published: (2025)

AdaFusion: Prompt-Guided Inference with Adaptive Fusion of Pathology Foundation Models
by: Xiao, Yuxiang, et al.
Published: (2025)

Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology
by: Tang, Wenhao, et al.
Published: (2024)

cDP-MIL: Robust Multiple Instance Learning via Cascaded Dirichlet Process
by: Chen, Yihang, et al.
Published: (2024)

Low-Rank Adaptation with Task-Relevant Feature Enhancement for Fine-tuning Language Models
by: Li, Changqun, et al.
Published: (2024)

Pathology Foundation Models
by: Ochi, Mieko, et al.
Published: (2024)

Prompting Video-Language Foundation Models with Domain-specific Fine-grained Heuristics for Video Question Answering
by: Yu, Ting, et al.
Published: (2024)

FreeCond: Free Lunch in the Input Conditions of Text-Guided Inpainting
by: Hsiao, Teng-Fang, et al.
Published: (2024)

Plug-and-Play Logit Fusion for Heterogeneous Pathology Foundation Models
by: Huang, Gexin, et al.
Published: (2026)

SAMPO-Path: Segmentation Intent-Aligned Preference Optimization for Pathology Foundation Model Segmentation
by: Wu, Yonghuang, et al.
Published: (2025)

Metric-Guided Feature Fusion of Visual Foundation Models for Segmentation Tasks
by: Guo, Yachan, et al.
Published: (2026)

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization
by: Zhang, Lingyun, et al.
Published: (2024)

RIFLEx: A Free Lunch for Length Extrapolation in Video Diffusion Transformers
by: Zhao, Min, et al.
Published: (2025)

Leveraging Segment Anything Model for Source-Free Domain Adaptation via Dual Feature Guided Auto-Prompting
by: Huai, Zheang, et al.
Published: (2025)

PathOrchestra: A Comprehensive Foundation Model for Computational Pathology with Over 100 Diverse Clinical-Grade Tasks
by: Yan, Fang, et al.
Published: (2025)

Source-Free Domain Adaptation with Frozen Multimodal Foundation Model
by: Tang, Song, et al.
Published: (2023)

Free Lunch for Generating Effective Outlier Supervision
by: Pei, Sen, et al.
Published: (2023)

Freeplane: Unlocking Free Lunch in Triplane-Based Sparse-View Reconstruction Models
by: Sun, Wenqiang, et al.
Published: (2024)

EgoVideo: Exploring Egocentric Foundation Model and Downstream Adaptation
by: Pei, Baoqi, et al.
Published: (2024)

MINT: Molecularly Informed Training with Spatial Transcriptomics Supervision for Pathology Foundation Models
by: Lee, Minsoo, et al.
Published: (2026)

Task-Adapter++: Task-specific Adaptation with Order-aware Alignment for Few-shot Action Recognition
by: Cao, Congqi, et al.
Published: (2025)

Uncertainty-Guided Enhancement on Driving Perception System via Foundation Models
by: Yang, Yunhao, et al.
Published: (2024)

Continual Novel Class Discovery via Feature Enhancement and Adaptation
by: Yu, Yifan, et al.
Published: (2024)

Partially Shared Concept Bottleneck Models
by: Zhao, Delong, et al.
Published: (2025)

DAM: Dual Active Learning with Multimodal Foundation Model for Source-Free Domain Adaptation
by: Chen, Xi, et al.
Published: (2025)

Shortcutting Pre-trained Flow Matching Diffusion Models is Almost Free Lunch
by: Cai, Xu, et al.
Published: (2025)

Whole Slide Concepts: A Supervised Foundation Model For Pathological Images
by: Nicke, Till, et al.
Published: (2025)

Task-Aware Low-Rank Adaptation of Segment Anything Model
by: Wang, Xuehao, et al.
Published: (2024)

Unifying Multiple Foundation Models for Advanced Computational Pathology
by: Lei, Wenhui, et al.
Published: (2025)

Towards More General Video-based Deepfake Detection through Facial Component Guided Adaptation for Foundation Model
by: Han, Yue-Hua, et al.
Published: (2024)

Prompt as Free Lunch: Enhancing Diversity in Source-Free Cross-domain Few-shot Learning through Semantic-Guided Prompting
by: Zhuo, Linhai, et al.
Published: (2024)