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Found 3 papers, 1 papers with code
Revisiting Proposal-based Object Detection
For proposal regression, we solve a simpler problem where we regress to the area of intersection between proposal and ground truth.
Detecting Objects with Context-Likelihood Graphs and Graph Refinement
Contrary to existing methods, which learn objects and relations separately, our key idea is to learn the object-relation distribution jointly.
Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task
We address a core problem of computer vision: Detection and description of 2D feature points for image matching.
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