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Few-Shot Learning from Gigapixel Images via Hierarchical Vision-Language Alignment and Modeling

Few-Shot Learning from Gigapixel Images via Hierarchical Vision-Language Alignment and Modeling

23 May 2025
Bryan Wong
Jong Woo Kim
Huazhu Fu
Mun Yi
    VLM
ArXivPDFHTML

Papers citing "Few-Shot Learning from Gigapixel Images via Hierarchical Vision-Language Alignment and Modeling"

32 / 32 papers shown
Title
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification
Jiangbo Shi
Chen Li
Tieliang Gong
Yefeng Zheng
Huazhu Fu
VLM
120
9
0
12 Feb 2025
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
DeepSeek-AI
Daya Guo
Dejian Yang
Haowei Zhang
Junxiao Song
...
Shiyu Wang
S. Yu
Shunfeng Zhou
Shuting Pan
S.S. Li
ReLM
VLM
OffRL
AI4TS
LRM
159
1,368
0
22 Jan 2025
FOCUS: Knowledge-enhanced Adaptive Visual Compression for Few-shot Whole Slide Image Classification
FOCUS: Knowledge-enhanced Adaptive Visual Compression for Few-shot Whole Slide Image Classification
Zhengrui Guo
Conghao Xiong
Jiabo Ma
Qichen Sun
Lishuang Feng
Jinzhuo Wang
Hao Chen
416
1
0
22 Nov 2024
HeGraphAdapter: Tuning Multi-Modal Vision-Language Models with
  Heterogeneous Graph Adapter
HeGraphAdapter: Tuning Multi-Modal Vision-Language Models with Heterogeneous Graph Adapter
Yumiao Zhao
Bo Jiang
Xiao Wang
Qin Xu
Jin Tang
VLM
43
1
0
10 Oct 2024
Pathology-knowledge Enhanced Multi-instance Prompt Learning for Few-shot
  Whole Slide Image Classification
Pathology-knowledge Enhanced Multi-instance Prompt Learning for Few-shot Whole Slide Image Classification
Linhao Qu
Dingkang Yang
Dan Huang
Qinhao Guo
Rongkui Luo
Shaoting Zhang
Xiaosong Wang
VLM
97
7
0
15 Jul 2024
Dynamic Graph Representation with Knowledge-aware Attention for
  Histopathology Whole Slide Image Analysis
Dynamic Graph Representation with Knowledge-aware Attention for Histopathology Whole Slide Image Analysis
Jiawen Li
Yuxuan Chen
Hongbo Chu
Qiehe Sun
Tian Guan
Anjia Han
Yonghong He
52
30
0
12 Mar 2024
Quilt-1M: One Million Image-Text Pairs for Histopathology
Quilt-1M: One Million Image-Text Pairs for Histopathology
Wisdom O. Ikezogwo
M. S. Seyfioglu
Fatemeh Ghezloo
Dylan Stefan Chan Geva
Fatwir Sheikh Mohammed
Pavan Kumar Anand
Ranjay Krishna
Linda G. Shapiro
CLIP
VLM
216
119
0
20 Jun 2023
The Rise of AI Language Pathologists: Exploring Two-level Prompt
  Learning for Few-shot Weakly-supervised Whole Slide Image Classification
The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image Classification
Linhao Qu
X. Luo
Kexue Fu
Manning Wang
Zhijian Song
61
24
0
29 May 2023
Computational Pathology: A Survey Review and The Way Forward
Computational Pathology: A Survey Review and The Way Forward
Mahdi S. Hosseini
B. Bejnordi
Vincent Quoc-Huy Trinh
Danial Hasan
Xing-gen Li
...
Fatemeh Chaji
A. Salehi
Bich Ngoc Nguyen
Dimitris Samaras
Konstantinos N. Plataniotis
OOD
26
27
0
11 Apr 2023
GPT-4 Technical Report
GPT-4 Technical Report
OpenAI OpenAI
OpenAI Josh Achiam
Steven Adler
Sandhini Agarwal
Lama Ahmad
...
Shengjia Zhao
Tianhao Zheng
Juntang Zhuang
William Zhuk
Barret Zoph
LLMAG
MLLM
422
13,788
0
15 Mar 2023
Interventional Bag Multi-Instance Learning On Whole-Slide Pathological
  Images
Interventional Bag Multi-Instance Learning On Whole-Slide Pathological Images
Tiancheng Lin
Zhimiao Yu
Hongyu Hu
Yi Xu
Changyi Chen
87
83
0
13 Mar 2023
DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide
  Image Classification
DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification
Linhao Qu
Xiao-Zhuo Luo
Shaolei Liu
Manning Wang
Zhijian Song
VLM
46
56
0
17 Jun 2022
Multiple Instance Learning for Digital Pathology: A Review on the
  State-of-the-Art, Limitations & Future Potential
Multiple Instance Learning for Digital Pathology: A Review on the State-of-the-Art, Limitations & Future Potential
M. Gadermayr
M. Tschuchnig
47
62
0
09 Jun 2022
A graph-transformer for whole slide image classification
A graph-transformer for whole slide image classification
Yi Zheng
R. Gindra
Emily J. Green
E. Burks
Margrit Betke
J. Beane
V. Kolachalama
MedIm
79
127
0
19 May 2022
Flamingo: a Visual Language Model for Few-Shot Learning
Flamingo: a Visual Language Model for Few-Shot Learning
Jean-Baptiste Alayrac
Jeff Donahue
Pauline Luc
Antoine Miech
Iain Barr
...
Mikolaj Binkowski
Ricardo Barreira
Oriol Vinyals
Andrew Zisserman
Karen Simonyan
MLLM
VLM
276
3,458
0
29 Apr 2022
DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning
  for Histopathology Whole Slide Image Classification
DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification
Hongrun Zhang
Y. Meng
Yitian Zhao
Yihong Qiao
Xiaoyun Yang
Sarah E Coupland
Yalin Zheng
57
280
0
22 Mar 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified
  Vision-Language Understanding and Generation
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Junnan Li
Dongxu Li
Caiming Xiong
Guosheng Lin
MLLM
BDL
VLM
CLIP
436
4,283
0
28 Jan 2022
CLIP-Adapter: Better Vision-Language Models with Feature Adapters
CLIP-Adapter: Better Vision-Language Models with Feature Adapters
Peng Gao
Shijie Geng
Renrui Zhang
Teli Ma
Rongyao Fang
Yongfeng Zhang
Hongsheng Li
Yu Qiao
VLM
CLIP
197
1,011
0
09 Oct 2021
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VPVLM
CLIP
VLM
438
2,340
0
02 Sep 2021
TransMIL: Transformer based Correlated Multiple Instance Learning for
  Whole Slide Image Classification
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification
Zhucheng Shao
Hao Bian
Yang Chen
Yifeng Wang
Jian Zhang
Xiangyang Ji
Yongbing Zhang
ViT
MedIm
59
650
0
02 Jun 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
666
28,659
0
26 Feb 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy
  Text Supervision
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia
Yinfei Yang
Ye Xia
Yi-Ting Chen
Zarana Parekh
Hieu H. Pham
Quoc V. Le
Yun-hsuan Sung
Zhen Li
Tom Duerig
VLM
CLIP
390
3,778
0
11 Feb 2021
Dual-stream Multiple Instance Learning Network for Whole Slide Image
  Classification with Self-supervised Contrastive Learning
Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning
Bin Li
Yin Li
K. Eliceiri
46
599
0
17 Nov 2020
Contrastive Learning of Medical Visual Representations from Paired
  Images and Text
Contrastive Learning of Medical Visual Representations from Paired Images and Text
Yuhao Zhang
Hang Jiang
Yasuhide Miura
Christopher D. Manning
C. Langlotz
MedIm
99
744
0
02 Oct 2020
Data Efficient and Weakly Supervised Computational Pathology on Whole
  Slide Images
Data Efficient and Weakly Supervised Computational Pathology on Whole Slide Images
Ming Y. Lu
Drew F. K. Williamson
Tiffany Y. Chen
Richard J. Chen
Matteo Barbieri
Faisal Mahmood
56
1,287
0
20 Apr 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
218
42,038
0
03 Dec 2019
A Baseline for Few-Shot Image Classification
A Baseline for Few-Shot Image Classification
Guneet Singh Dhillon
Pratik Chaudhari
Avinash Ravichandran
Stefano Soatto
55
578
0
06 Sep 2019
Fast Graph Representation Learning with PyTorch Geometric
Fast Graph Representation Learning with PyTorch Geometric
Matthias Fey
J. E. Lenssen
3DH
GNN
3DPC
155
4,289
0
06 Mar 2019
Attention-based Deep Multiple Instance Learning
Attention-based Deep Multiple Instance Learning
Maximilian Ilse
Jakub M. Tomczak
Max Welling
111
1,779
0
13 Feb 2018
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
427
129,831
0
12 Jun 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
374
15,066
0
07 Jun 2017
Multiple Instance Learning: A Survey of Problem Characteristics and
  Applications
Multiple Instance Learning: A Survey of Problem Characteristics and Applications
M. Carbonneau
Veronika Cheplygina
Eric Granger
G. Gagnon
44
618
0
11 Dec 2016
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