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Found 9 papers, 5 papers with code
Nuclear Morphometry using a Deep Learning-based Algorithm has Prognostic Relevance for Canine Cutaneous Mast Cell Tumors
Algorithmic morphometry was compared with karyomegaly estimates by 11 pathologists, manual nuclear morphometry of 12 cells by 9 pathologists, and the mitotic count as a benchmark.
BlendTorch: A Real-Time, Adaptive Domain Randomization Library
Solving complex computer vision tasks by deep learning techniques relies on large amounts of (supervised) image data, typically unavailable in industrial environments.
End-to-End Defect Detection in Automated Fiber Placement Based on Artificially Generated Data
This leads to an appealing method that scales well with new defect types and measurement devices and requires little real world data for training.
Metric Pose Estimation for Human-Machine Interaction Using Monocular Vision
The rapid growth of collaborative robotics in production requires new automation technologies that take human and machine equally into account.
Enhanced Human-Machine Interaction by Combining Proximity Sensing with Global Perception
The raise of collaborative robotics has led to wide range of sensor technologies to detect human-machine interactions: at short distances, proximity sensors detect nontactile gestures virtually occlusion-free, while at medium distances, active depth sensors are frequently used to infer human intentions.
Learning to Predict Robot Keypoints Using Artificially Generated Images
This work considers robot keypoint estimation on color images as a supervised machine learning task.
Large Area 3D Human Pose Detection Via Stereo Reconstruction in Panoramic Cameras
We propose a novel 3D human pose detector using two panoramic cameras.
Spatio-thermal depth correction of RGB-D sensors based on Gaussian Processes in real-time
Commodity RGB-D sensors capture color images along with dense pixel-wise depth information in real-time.
3D Robot Pose Estimation from 2D Images
This paper considers the task of locating articulated poses of multiple robots in images.
