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Synthetic Image Generation for Object Detection using CAD Models
A custom Blender code is used to generate labeled training images containing the rendered CAD model in context. Then, a pretrained object detection model is fine-tuned on the... -
Seeing 3D chairs: exemplar part-based 2D-3D alignment using a large dataset o...
Seeing 3D chairs: exemplar part-based 2D-3D alignment using a large dataset of CAD models -
ModelNet10, ModelNet40, and ScanObjectNN
The dataset used in the PointCLIP paper is ModelNet10, ModelNet40, and ScanObjectNN. ModelNet10 consists of 4,899 synthetic meshed CAD models with 10 indoor categories, 3,991... -
ModelNet-40 dataset
The ModelNet-40 dataset contains 2468 CAD models that correspond to 40 classes. -
ModelNet10
3D Convolutional Neural Networks are sensitive to transformations applied to their input. This is a problem because a voxelized version of a 3D object, and its rotated clone,... -
ModelNet40
Point cloud registration is a crucial problem in computer vision and robotics. Existing methods either rely on matching local geometric features, which are sensitive to the pose...
