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Found 4 papers, 2 papers with code
A Unified Instance Segmentation Framework for Completely Occluded Objects and Dense Objects in Robot Vision Measurement
In addition, since OBBs only serve as prompts, CFNet alleviates the over-dependence on bounding box detection performance of current instance segmentation methods using OBBs for dense objects.
Linear Gaussian Bounding Box Representation and Ring-Shaped Rotated Convolution for Oriented Object Detection
We propose linear GBB (LGBB), a novel OBB representation.
SEEK: model extraction attack against hybrid secure inference protocols
Security concerns about a machine learning model used in a prediction-as-a-service include the privacy of the model, the query and the result.
Robust and accurate depth estimation by fusing LiDAR and Stereo
Because the density of the LiDAR data is relatively sparse on the y-axis, the converted disparity map is up-sampled using the interpolation method.
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