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Found 5 papers, 3 papers with code
Theoretically Achieving Continuous Representation of Oriented Bounding Boxes
Considerable efforts have been devoted to Oriented Object Detection (OOD).
Semantic-Aware Transformation-Invariant RoI Align
In this paper, we propose a novel RoI feature extractor, termed Semantic RoI Align (SRA), which is capable of extracting invariant RoI features under a variety of transformations for two-stage detectors.
Sampling Equivariant Self-attention Networks for Object Detection in Aerial Images
Sampling equivariant networks can adjust sampling from input feature maps according to the transformation of the object, allowing a kernel to extract features of an object under different transformations.
Example-Guided Style Consistent Image Synthesis from Semantic Labeling
Example-guided image synthesis aims to synthesize an image from a semantic label map and an exemplary image indicating style.
Deep Online Video Stabilization
In this paper, we solve the video stabilization problem using a convolutional neural network (ConvNet).
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