DDA: Dimensionality Driven Augmentation Search for Contrastive Learning in Laparoscopic Surgery

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhou, Yuning, Badgery, Henry, Read, Matthew, Bailey, James, Davey, Catherine E.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Parsimonious Dataset Construction for Laparoscopic Cholecystectomy Structure Segmentation
di: Zhou, Yuning, et al.
Pubblicazione: (2025)

Detecting Backdoor Samples in Contrastive Language Image Pretraining
di: Huang, Hanxun, et al.
Pubblicazione: (2025)

Data Augmentation of Contrastive Learning is Estimating Positive-incentive Noise
di: Zhang, Hongyuan, et al.
Pubblicazione: (2024)

Unifying Graph Contrastive Learning via Graph Message Augmentation
di: Zhang, Ziyan, et al.
Pubblicazione: (2024)

Deep Learning-based Point Cloud Registration for Augmented Reality-guided Surgery
di: Weber, Maximilian, et al.
Pubblicazione: (2024)

LDReg: Local Dimensionality Regularized Self-Supervised Learning
di: Huang, Hanxun, et al.
Pubblicazione: (2024)

PCM-SAR: Physics-Driven Contrastive Mutual Learning for SAR Classification
di: Wang, Pengfei, et al.
Pubblicazione: (2025)

Bi-Encoder Contrastive Learning for Fingerprint and Iris Biometrics
di: So, Matthew, et al.
Pubblicazione: (2025)

Point Cloud Understanding via Attention-Driven Contrastive Learning
di: Wang, Yi, et al.
Pubblicazione: (2024)

Visually Robust Adversarial Imitation Learning from Videos with Contrastive Learning
di: Giammarino, Vittorio, et al.
Pubblicazione: (2024)

Learning From Design Procedure To Generate CAD Programs for Data Augmentation
di: Chen, Yan-Ying, et al.
Pubblicazione: (2026)

Video-Based MPAA Rating Prediction: An Attention-Driven Hybrid Architecture Using Contrastive Learning
di: Neogi, Dipta, et al.
Pubblicazione: (2025)

GS-EMA: Integrating Gradient Surgery Exponential Moving Average with Boundary-Aware Contrastive Learning for Enhanced Domain Generalization in Aneurysm Segmentation
di: Lin, Fengming, et al.
Pubblicazione: (2024)

DDA-Thinker: Decoupled Dual-Atomic Reinforcement Learning for Reasoning-Driven Image Editing
di: Yang, Hanqing, et al.
Pubblicazione: (2026)

ContrastCAD: Contrastive Learning-based Representation Learning for Computer-Aided Design Models
di: Jung, Minseop, et al.
Pubblicazione: (2024)

Variational Supervised Contrastive Learning
di: Wang, Ziwen, et al.
Pubblicazione: (2025)

Post-surgical Endometriosis Segmentation in Laparoscopic Videos
di: Leibetseder, Andreas, et al.
Pubblicazione: (2025)

MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning
di: Sun, Hai-Long, et al.
Pubblicazione: (2024)

CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning
di: Wang, Yiping, et al.
Pubblicazione: (2024)

Rethinking Positive Pairs in Contrastive Learning
di: Wu, Jiantao, et al.
Pubblicazione: (2024)

A Mathematical Perspective On Contrastive Learning
di: Baptista, Ricardo, et al.
Pubblicazione: (2025)

Contrastive Learning for Regression on Hyperspectral Data
di: Dhaini, Mohamad, et al.
Pubblicazione: (2024)

Machine Learning-Based Automated Assessment of Intracorporeal Suturing in Laparoscopic Fundoplication
di: Khairnar, Shekhar Madhav, et al.
Pubblicazione: (2024)

Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning
di: Zhang, Jihai, et al.
Pubblicazione: (2024)

$\mathbb{X}$-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs
di: Sobal, Vlad, et al.
Pubblicazione: (2024)

Gradient Similarity Surgery in Multi-Task Deep Learning
di: Borsani, Thomas, et al.
Pubblicazione: (2025)

EnsAug: Augmentation-Driven Ensembles for Human Motion Sequence Analysis
di: De, Bikram, et al.
Pubblicazione: (2026)

Confidence-aware Contrastive Learning for Selective Classification
di: Wu, Yu-Chang, et al.
Pubblicazione: (2024)

Visual Imitation Learning with Calibrated Contrastive Representation
di: Wang, Yunke, et al.
Pubblicazione: (2024)

Long-Tail Learning with Rebalanced Contrastive Loss
di: De Alvis, Charika, et al.
Pubblicazione: (2023)

Generalized Contrastive Learning for Universal Multimodal Retrieval
di: Lee, Jungsoo, et al.
Pubblicazione: (2025)

Probabilistic Contrastive Learning with Explicit Concentration on the Hypersphere
di: Li, Hongwei Bran, et al.
Pubblicazione: (2024)

Unsupervised Waste Classification By Dual-Encoder Contrastive Learning and Multi-Clustering Voting (DECMCV)
di: Huang, Kui, et al.
Pubblicazione: (2025)

Mixup Augmentation with Multiple Interpolations
di: Shen, Lifeng, et al.
Pubblicazione: (2024)

Walnut Detection Through Deep Learning Enhanced by Multispectral Synthetic Images
di: Fu, Kaiming, et al.
Pubblicazione: (2023)

Enriching Knowledge Distillation with Intra-Class Contrastive Learning
di: Yuan, Hua, et al.
Pubblicazione: (2025)

Probabilistic Contrastive Learning for Long-Tailed Visual Recognition
di: Du, Chaoqun, et al.
Pubblicazione: (2024)

Contrastive Learning with Auxiliary User Detection for Identifying Activities
di: Ge, Wen, et al.
Pubblicazione: (2024)

Preview-based Category Contrastive Learning for Knowledge Distillation
di: Ding, Muhe, et al.
Pubblicazione: (2024)

Supervised Contrastive Frame Aggregation for Video Representation Learning
di: Chowdhury, Shaif, et al.
Pubblicazione: (2025)