Fetching the paper…
Reading the bibliography…
Single-image depth estimation is essential for endoscopy tasks such as localization, reconstruction, and augmented reality.
“Depth Map Prediction from a Single Image using a Multi-Scale Deep Network”
David Eigen, Christian Puhrsch and Rob Fergus · 2014
Earlier work this paper cites.
“WM-DOVA maps for accurate polyp highlighting in colonoscopy: Validation vs. saliency maps from physicians”
Jorge Bernal et al · 2015
Earlier work this paper cites.
“Distilling the Knowledge in a Neural Network”
Geoffrey Hinton · 2015
Earlier work this paper cites.
“Online tracking and retargeting with applications to optical biopsy in gastrointestinal endoscopic examinations”
Menglong Ye, Stamatia Giannarou, Alexander Meining and Guang-Zhong Yang · 2016
Earlier work this paper cites.
“Self-Supervised Siamese Learning on Stereo Image Pairs for Depth Estimation in Robotic Surgery”
M Ye et al · 2017
Earlier work this paper cites.
“Unsupervised learning of depth and ego-motion from video”
Tinghui Zhou, Matthew Brown, Noah Snavely and David Lowe · 2017
Earlier work this paper cites.
“Unpaired image-to-image translation using cycle-consistent adversarial networks”
Jun-Yan Zhu, Taesung Park, Phillip Isola and Alexei Efros · 2017
Earlier work this paper cites.
“EndoAbS dataset: Endoscopic abdominal stereo image dataset for benchmarking 3d stereo reconstruction algorithms”
Veronica Penza et al · 2018
Earlier work this paper cites.
“Dense depth estimation in monocular endoscopy with self-supervised learning methods”
Xingtong Liu et al · 2019
Earlier work this paper cites.
“Context-aware depth and pose estimation for bronchoscopic navigation”
Mali Shen, Yun Gu, Ning Liu and Guang-Zhong Yang · 2019
Earlier work this paper cites.
“Unsupervised scale-consistent depth and ego-motion learning from monocular video”
Jiawang Bian et al · 2019
Earlier work this paper cites.
“Digging into self-supervised monocular depth estimation”
Clément Godard, Oisin Mac, Michael Firman and Gabriel Brostow · 2019
Earlier work this paper cites.
“Autonomous driving in the lung using deep learning for localization”
Jake Sganga, David Eng, Chauncey Graetzel and David Camarillo · 2019
Earlier work this paper cites.
“A 3D-deep-learning-based augmented reality calibration method for robotic environments using depth sensor data”
Linh Kästner, Vlad Frasineanu and Jens Lambrecht · 2020
Earlier work this paper cites.
“Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer”
René Ranftl et al · 2020
Earlier work this paper cites.
“A unified framework for generalized low-shot medical image segmentation with scarce data”
Hengji Cui et al · 2020
Earlier work this paper cites.
“Robust curriculum learning: from clean label detection to noisy label self-correction”
Tianyi Zhou, Shengjie Wang and Jeff Bilmes · 2020
Earlier work this paper cites.
“Early-learning regularization prevents memorization of noisy labels”
Sheng Liu, Jonathan Niles-Weed, Narges Razavian and Carlos Fernandez-Granda · 2020
Earlier work this paper cites.
“Guiding monocular depth estimation using depth-attention volume”
Lam Huynh et al · 2020
Earlier work this paper cites.
“Augmenting colonoscopy using extended and directional cyclegan for lossy image translation”
Shawn Mathew, Saad Nadeem, Sruti Kumari and Arie Kaufman · 2020
Earlier work this paper cites.
“An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy”
Sharib Ali et al · 2020
Earlier work this paper cites.
“Towards good practice for CNN-based monocular depth estimation”
Zhicheng Fang, Xiaoran Chen, Yuhua Chen and Luc Gool · 2020
Earlier work this paper cites.
“DeFeat-Net: General monocular depth via simultaneous unsupervised representation learning”
Jaime Spencer, Richard Bowden and Simon Hadfield · 2020
Earlier work this paper cites.
“Pranet: Parallel reverse attention network for polyp segmentation”
Deng-Ping Fan et al · 2020
Cited alongside, same era.
“Kvasir-SEG: A segmented polyp dataset”
Debesh Jha et al · 2020
Cited alongside, same era.
“Better fine-tuning by reducing representational collapse”
Armen Aghajanyan et al · 2020
Cited alongside, same era.
“Heidelberg colorectal data set for surgical data science in the sensor operating room”
Lena Maier-Hein et al · 2021
Cited alongside, same era.
“Vision transformers for dense prediction”
René Ranftl, Alexey Bochkovskiy and Vladlen Koltun · 2021
Cited alongside, same era.
“Adabins: Depth estimation using adaptive bins”
Shariq Bhat, Ibraheem Alhashim and Peter Wonka · 2021
Cited alongside, same era.
“LightDepth: Single-View Depth Self-Supervision from Illumination Decline”
Javier Puigvert et al · 2023
Later among the works it cites.
“Colonoscopy 3D video dataset with paired depth from 2D-3D registration”
Taylor Bobrow et al · 2023
Later among the works it cites.
“Endomapper dataset of complete calibrated endoscopy procedures”
Pablo Azagra et al · 2023
Later among the works it cites.
“Zoedepth: Zero-shot transfer by combining relative and metric depth”
Shariq Bhat et al · 2023
Later among the works it cites.
“Segment Anything”
Alexander Kirillov et al · 2023
Later among the works it cites.
“Photo-SLAM: Real-time Simultaneous Localization and Photorealistic Mapping for Monocular Stereo and RGB-D Cameras”
Huajian Huang, Longwei Li, Hui Cheng and Sai-Kit Yeung · 2024
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
“Endo-depth-and-motion: Reconstruction and tracking in endoscopic videos using depth networks and photometric constraints”
David Recasens et al · 2021
Cited alongside, same era.
“EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos”
Kutsev Ozyoruk et al · 2021
Cited alongside, same era.
“Understanding deep learning (still) requires rethinking generalization”
Chiyuan Zhang et al · 2021
Cited alongside, same era.
“Stereo correspondence and reconstruction of endoscopic data challenge”
Max Allan et al · 2021
Cited alongside, same era.
“Comparative validation of multi-instance instrument segmentation in endoscopy: results of the ROBUST-MIS 2019 challenge”
Tobias Roß et al · 2021
Cited alongside, same era.
“Surgical visual domain adaptation: Results from the MICCAI 2020 SurgVisDom challenge”
Aneeq Zia et al · 2021
Cited alongside, same era.
Closest in time.
“Depth anything: Unleashing the power of large-scale unlabeled data”
Lihe Yang et al · 2024
Closest in time.
Lihe Yang et al · 2024
Closest in time.
“Surgical-DINO: adapter learning of foundation models for depth estimation in endoscopic surgery”
Beilei Cui, Mobarakol Islam, Long Bai and Hongliang Ren · 2024
Closest in time.
“EndoDAC: Efficient adapting foundation model for self-supervised depth estimation from any endoscopic camera”
Beilei Cui et al · 2024
Closest in time.
“Depth Anything in Medical Images: A Comparative Study”
John Han, Ayberk Acar, Callahan Henry and Jie Wu · 2024
Closest in time.
“Robust Semi-supervised Multimodal Medical Image Segmentation via Cross Modality Collaboration”
Xiaogen Zhon et al · 2024
Closest in time.
“UniDepth: Universal Monocular Metric Depth Estimation”
Luigi Piccinelli et al · 2024
Closest in time.
“DD-VNB: A Depth-based Dual-Loop Framework for Real-time Visually Navigated Bronchoscopy”
Qingyao Tian et al · 2024
Closest in time.
“Absolute Monocular Depth Estimation on Robotic Visual and Kinematics Data via Self-Supervised Learning”
Ruofeng Wei et al · 2024
Closest in time.
“Image Intrinsic-Based Unsupervised Monocular Depth Estimation in Endoscopy”
Bojian Li et al · 2024
Closest in time.
Zhiwei Wang et al · 2024
Closest in time.
“DINOv2: Learning Robust Visual Features without Supervision”
Maxime Oquab et al · 2024
Closest in time.
“TransNetR: transformer-based residual network for polyp segmentation with multi-center out-of-distribution testing”
Debesh Jha, Nikhil Tomar, Vanshali Sharma and Ulas Bagci · 2024
Closest in time.
“Polyp-SAM: Transfer SAM for polyp segmentation”
Yuheng Li, Mingzhe Hu and Xiaofeng Yang · 2024
Closest in time.
“BronchoTrack: Airway Lumen Tracking for Branch-Level Bronchoscopic Localization”
Qingyao Tian et al · 2024
Closest in time.
“Advancing Depth Anything Model for Unsupervised Monocular Depth Estimation in Endoscopy”
Bojian Li, Bo Liu, Jinghua Yue and Fugen Zhou · 2024
Closest in time.