LadderMIL: Multiple Instance Learning with Coarse-to-Fine Self-Distillation
Fuente:
arXiv
Saved in:
| Main Authors: | Wu, Shuyang, Qiu, Yifu, Nearchou, Ines P., Prost, Sandrine, Fallowfield, Jonathan A., Ueno, Hideki, Tsuda, Hitoshi, Harrison, David J., Bilen, Hakan, Kendall, Timothy J. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Enabling Progressive Whole-slide Image Analysis with Multi-scale Pyramidal Network
by: Wu, Shuyang, et al.
Published: (2026)
by: Wu, Shuyang, et al.
Published: (2026)
Coarse or Fine? Recognising Action End States without Labels
by: Moltisanti, Davide, et al.
Published: (2024)
by: Moltisanti, Davide, et al.
Published: (2024)
Interpreting elevated liver blood test results through a genetic lens: A genome‐wide association study
by: Hamish Innes, et al.
Published: (2024)
by: Hamish Innes, et al.
Published: (2024)
HumMorph: Generalized Dynamic Human Neural Fields from Few Views
by: Zadrożny, Jakub, et al.
Published: (2025)
by: Zadrożny, Jakub, et al.
Published: (2025)
Universal representations:The missing link between faces, text, planktons, and cat breeds
by: Bilen, Hakan, et al.
Published: (2017)
by: Bilen, Hakan, et al.
Published: (2017)
xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology
by: Hense, Julius, et al.
Published: (2024)
by: Hense, Julius, et al.
Published: (2024)
ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging
by: Struski, Łukasz, et al.
Published: (2023)
by: Struski, Łukasz, et al.
Published: (2023)
Outcome prediction in metabolic dysfunction‐associated steatotic liver disease using stain‐free digital pathological assessment
by: Timothy J. Kendall, et al.
Published: (2024)
by: Timothy J. Kendall, et al.
Published: (2024)
MIL-PF: Multiple Instance Learning on Precomputed Features for Mammography Classification
by: Jovišić, Nikola, et al.
Published: (2026)
by: Jovišić, Nikola, et al.
Published: (2026)
Personalised aesthetics with residual adapters
by: Rodríguez-Pardo, Carlos, et al.
Published: (2019)
by: Rodríguez-Pardo, Carlos, et al.
Published: (2019)
HookMIL: Revisiting Context Modeling in Multiple Instance Learning for Computational Pathology
by: Ling, Xitong, et al.
Published: (2025)
by: Ling, Xitong, et al.
Published: (2025)
PathBench-MIL: A Comprehensive AutoML and Benchmarking Framework for Multiple Instance Learning in Histopathology
by: Brussee, Siemen, et al.
Published: (2025)
by: Brussee, Siemen, et al.
Published: (2025)
GCE-MIL: Faithful and Recoverable Evidence for Multiple Instance Learning in Whole-Slide Imaging
by: Li, Xiangyu, et al.
Published: (2026)
by: Li, Xiangyu, et al.
Published: (2026)
FedMIL: Federated-Multiple Instance Learning for Video Analysis with Optimized DPP Scheduling
by: Bastola, Ashish, et al.
Published: (2024)
by: Bastola, Ashish, et al.
Published: (2024)
ReaMIL: Reasoning- and Evidence-Aware Multiple Instance Learning for Whole-Slide Histopathology
by: Jung, Hyun Do, et al.
Published: (2026)
by: Jung, Hyun Do, et al.
Published: (2026)
cDP-MIL: Robust Multiple Instance Learning via Cascaded Dirichlet Process
by: Chen, Yihang, et al.
Published: (2024)
by: Chen, Yihang, et al.
Published: (2024)
SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification
by: Qiu, Peijie, et al.
Published: (2023)
by: Qiu, Peijie, et al.
Published: (2023)
RetMIL: Retentive Multiple Instance Learning for Histopathological Whole Slide Image Classification
by: Chu, Hongbo, et al.
Published: (2024)
by: Chu, Hongbo, et al.
Published: (2024)
MamMIL: Multiple Instance Learning for Whole Slide Images with State Space Models
by: Fang, Zijie, et al.
Published: (2024)
by: Fang, Zijie, et al.
Published: (2024)
PAOLI: Pose-free Articulated Object Learning from Sparse-view Images
by: Deng, Jianning, et al.
Published: (2025)
by: Deng, Jianning, et al.
Published: (2025)
Visually Interpretable Subtask Reasoning for Visual Question Answering
by: Cheng, Yu, et al.
Published: (2025)
by: Cheng, Yu, et al.
Published: (2025)
Odd-One-Out: Anomaly Detection by Comparing with Neighbors
by: Bhunia, Ankan, et al.
Published: (2024)
by: Bhunia, Ankan, et al.
Published: (2024)
Articulate your NeRF: Unsupervised articulated object modeling via conditional view synthesis
by: Deng, Jianning, et al.
Published: (2024)
by: Deng, Jianning, et al.
Published: (2024)
Looking 3D: Anomaly Detection with 2D-3D Alignment
by: Bhunia, Ankan, et al.
Published: (2024)
by: Bhunia, Ankan, et al.
Published: (2024)
Mamba2MIL: State Space Duality Based Multiple Instance Learning for Computational Pathology
by: Zhang, Yuqi, et al.
Published: (2024)
by: Zhang, Yuqi, et al.
Published: (2024)
MicroMIL: Graph-Based Multiple Instance Learning for Context-Aware Diagnosis with Microscopic Images
by: Kim, Jongwoo, et al.
Published: (2024)
by: Kim, Jongwoo, et al.
Published: (2024)
WSD-MIL: Window Scale Decay Multiple Instance Learning for Whole Slide Image Classification
by: Feng, Le, et al.
Published: (2025)
by: Feng, Le, et al.
Published: (2025)
Improving Semantic Correspondence with Viewpoint-Guided Spherical Maps
by: Mariotti, Octave, et al.
Published: (2023)
by: Mariotti, Octave, et al.
Published: (2023)
A Variation Problem for Mappings between Statistical Manifolds
by: Furuhata, Hitoshi, et al.
Published: (2023)
by: Furuhata, Hitoshi, et al.
Published: (2023)
DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification
by: Zhu, Wenhui, et al.
Published: (2024)
by: Zhu, Wenhui, et al.
Published: (2024)
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification
by: Bai, Yu, et al.
Published: (2025)
by: Bai, Yu, et al.
Published: (2025)
PA-MIL: Phenotype-Aware Multiple Instance Learning Guided by Language Prompting and Genotype-to-Phenotype Relationships
by: Yang, Zekang, et al.
Published: (2026)
by: Yang, Zekang, et al.
Published: (2026)
OS-FPI: A Coarse-to-Fine One-Stream Network for UAV Geo-Localization
by: Chen, Jiahao, et al.
Published: (2024)
by: Chen, Jiahao, et al.
Published: (2024)
Fine-tuning a Multiple Instance Learning Feature Extractor with Masked Context Modelling and Knowledge Distillation
by: Pisula, Juan I., et al.
Published: (2024)
by: Pisula, Juan I., et al.
Published: (2024)
HIERAMP: Coarse-to-Fine Autoregressive Amplification for Generative Dataset Distillation
by: Zhao, Lin, et al.
Published: (2026)
by: Zhao, Lin, et al.
Published: (2026)
Curriculum Coarse-to-Fine Selection for High-IPC Dataset Distillation
by: Chen, Yanda, et al.
Published: (2025)
by: Chen, Yanda, et al.
Published: (2025)
PSA-MIL: A Probabilistic Spatial Attention-Based Multiple Instance Learning for Whole Slide Image Classification
by: Peled, Sharon, et al.
Published: (2025)
by: Peled, Sharon, et al.
Published: (2025)
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification
by: Shi, Jiangbo, et al.
Published: (2025)
by: Shi, Jiangbo, et al.
Published: (2025)
TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning
by: Chen, Xiwen, et al.
Published: (2024)
by: Chen, Xiwen, et al.
Published: (2024)
SAM-MIL: A Spatial Contextual Aware Multiple Instance Learning Approach for Whole Slide Image Classification
by: Fang, Heng, et al.
Published: (2024)
by: Fang, Heng, et al.
Published: (2024)
Similar Items
-
Enabling Progressive Whole-slide Image Analysis with Multi-scale Pyramidal Network
by: Wu, Shuyang, et al.
Published: (2026) -
Coarse or Fine? Recognising Action End States without Labels
by: Moltisanti, Davide, et al.
Published: (2024) -
Interpreting elevated liver blood test results through a genetic lens: A genome‐wide association study
by: Hamish Innes, et al.
Published: (2024) -
HumMorph: Generalized Dynamic Human Neural Fields from Few Views
by: Zadrożny, Jakub, et al.
Published: (2025) -
Universal representations:The missing link between faces, text, planktons, and cat breeds
by: Bilen, Hakan, et al.
Published: (2017)