Turnitin
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Rethinking boundary discontinuity problem for oriented object detection
Oriented object detection has been developed rapidly in the past few years where rotation
equivariance is crucial for detectors to predict rotated boxes. It is expected that the prediction …
equivariance is crucial for detectors to predict rotated boxes. It is expected that the prediction …
[HTML][HTML] Rotated object detection with circular gaussian distribution
Rotated object detection is a challenging task due to the difficulties of locating the rotated
objects and separating them effectively from the background. For rotated object prediction …
objects and separating them effectively from the background. For rotated object prediction …
A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision
Omnidirectional image (ODI) data is captured with a field-of-view of 360x180, which is much
wider than the pinhole cameras and captures richer surrounding environment details than …
wider than the pinhole cameras and captures richer surrounding environment details than …