Cover Image

How Effective Can Dropout Be in Multiple Instance Learning ?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhu, Wenhui, Qiu, Peijie, Chen, Xiwen, Yang, Zhangsihao, Sotiras, Aristeidis, Razi, Abolfazl, Wang, Yalin
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Image and Video Processing Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification
by: Zhu, Wenhui, et al.
Published: (2024)

SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation
by: Zhu, Wenhui, et al.
Published: (2024)

Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis
by: Chen, Xiwen, et al.
Published: (2025)

D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image Segmentation
by: Yang, Jin, et al.
Published: (2024)

RBAD: A Dataset and Benchmark for Retinal Vessels Branching Angle Detection
by: Wang, Hao, et al.
Published: (2024)

CUNSB-RFIE: Context-aware Unpaired Neural Schrödinger Bridge in Retinal Fundus Image Enhancement
by: Dong, Xuanzhao, et al.
Published: (2024)

AgileFormer: Spatially Agile Transformer UNet for Medical Image Segmentation
by: Qiu, Peijie, 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)

nnMobileNet: Rethinking CNN for Retinopathy Research
by: Zhu, Wenhui, et al.
Published: (2023)

Dynamic U-Net: Adaptively Calibrate Features for Abdominal Multi-organ Segmentation
by: Yang, Jin, et al.
Published: (2024)

DMC-Net: Lightweight Dynamic Multi-Scale and Multi-Resolution Convolution Network for Pancreas Segmentation in CT Images
by: Yang, Jin, et al.
Published: (2024)

EyeBench: A Call for More Rigorous Evaluation of Retinal Image Enhancement
by: Zhu, Wenhui, et al.
Published: (2025)

QCResUNet: Joint Subject-level and Voxel-level Segmentation Quality Prediction
by: Qiu, Peijie, et al.
Published: (2024)

STA-Unet: Rethink the semantic redundant for Medical Imaging Segmentation
by: Vasa, Vamsi Krishna, et al.
Published: (2024)

Context-Aware Optimal Transport Learning for Retinal Fundus Image Enhancement
by: Vasa, Vamsi Krishna, et al.
Published: (2024)

Diffusion Prism: Enhancing Diversity and Morphology Consistency in Mask-to-Image Diffusion
by: Wang, Hao, et al.
Published: (2025)

PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers
by: Zhu, Wenhui, et al.
Published: (2023)

SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification
by: Qiu, Peijie, et al.
Published: (2023)

D2-MLP: Dynamic Decomposed MLP Mixer for Medical Image Segmentation
by: Yang, Jin, et al.
Published: (2024)

EViT-Unet: U-Net Like Efficient Vision Transformer for Medical Image Segmentation on Mobile and Edge Devices
by: Li, Xin, et al.
Published: (2024)

A Spatially-Aware Multiple Instance Learning Framework for Digital Pathology
by: Keshvarikhojasteh, Hassan, et al.
Published: (2025)

SC-VAE: Sparse Coding-based Variational Autoencoder with Learned ISTA
by: Xiao, Pan, et al.
Published: (2023)

TPOT: Topology Preserving Optimal Transport in Retinal Fundus Image Enhancement
by: Dong, Xuanzhao, et al.
Published: (2024)

HAMIL-QA: Hierarchical Approach to Multiple Instance Learning for Atrial LGE MRI Quality Assessment
by: Sultan, K M Arefeen, et al.
Published: (2024)

Beyond Multiple Instance Learning: Full Resolution All-In-Memory End-To-End Pathology Slide Modeling
by: Campanella, Gabriele, et al.
Published: (2024)

IG-CFAT: An Improved GAN-Based Framework for Effectively Exploiting Transformers in Real-World Image Super-Resolution
by: Aghelan, Alireza, et al.
Published: (2024)

Adaptive Data Transport Mechanism for UAV Surveillance Missions in Lossy Environments
by: Mehrabi, Niloufar, et al.
Published: (2024)

EVTP-IVS: Effective Visual Token Pruning For Unifying Instruction Visual Segmentation In Multi-Modal Large Language Models
by: Zhu, Wenhui, et al.
Published: (2025)

Multimodal Variational Autoencoder: a Barycentric View
by: Qiu, Peijie, et al.
Published: (2024)

Enhancing Alzheimer's Diagnosis: Leveraging Anatomical Landmarks in Graph Convolutional Neural Networks on Tetrahedral Meshes
by: Chen, Yanxi, et al.
Published: (2025)

ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging
by: Struski, Łukasz, et al.
Published: (2023)

Instance Migration Diffusion for Nuclear Instance Segmentation in Pathology
by: Qi, Lirui, et al.
Published: (2025)

TransLK-Net: Entangling Transformer and Large Kernel for Progressive and Collaborative Feature Encoding and Decoding in Medical Image Segmentation
by: Yang, Jin, et al.
Published: (2025)

UNISELF: A Unified Network with Instance Normalization and Self-Ensembled Lesion Fusion for Multiple Sclerosis Lesion Segmentation
by: Zhang, Jinwei, et al.
Published: (2025)

Imaging Signal Recovery Using Neural Network Priors Under Uncertain Forward Model Parameters
by: Chen, Xiwen, et al.
Published: (2024)

Evaluation of Multi-Scale Multiple Instance Learning to Improve Thyroid Cancer Classification
by: Tschuchnig, Maximilian E., et al.
Published: (2022)

Prompt-OT: An Optimal Transport Regularization Paradigm for Knowledge Preservation in Vision-Language Model Adaptation
by: Chen, Xiwen, et al.
Published: (2025)

Toward Effective Reinforcement Learning Fine-Tuning for Medical VQA in Vision-Language Models
by: Zhu, Wenhui, et al.
Published: (2025)

LKCell: Efficient Cell Nuclei Instance Segmentation with Large Convolution Kernels
by: Cui, Ziwei, et al.
Published: (2024)

LSD3K: A Benchmark for Smoke Removal from Laparoscopic Surgery Images
by: Chang, Wenhui, et al.
Published: (2024)