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Found 5 papers, 0 papers with code
Multi Positive Contrastive Learning with Pose-Consistent Generated Images
Model pre-training has become essential in various recognition tasks.
Learning-Based Depth and Pose Estimation for Monocular Endoscope with Loss Generalization
In addition, we propose a novel generalized photometric loss function to avoid the complicated process of finding proper weights for balancing the depth and the pose loss terms, which is required for existing direct depth and pose supervision approaches.
Stomach 3D Reconstruction Based on Virtual Chromoendoscopic Image Generation
Gastric endoscopy is a standard clinical process that enables medical practitioners to diagnose various lesions inside a patient's stomach.
3D Reconstruction of Whole Stomach from Endoscope Video Using Structure-from-Motion
In this work, we investigated how to enable structure-from-motion (SfM) to reconstruct the whole shape of a stomach from a standard endoscope video.
Structure-from-Motion using Dense CNN Features with Keypoint Relocalization
Then, we demonstrate on the Aachen Day-Night dataset that the proposed SfM using dense CNN features with the keypoint relocalization outperforms a state-of-the-art SfM (COLMAP using RootSIFT) by a large margin.
