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Found 6 papers, 2 papers with code
Intersection over Union with smoothing for bounding box regression
The main principle is adding a smoothing part to the original IoU, where the smoothing part is given by a linear space with values that increases from the ground truth bounding box to the border of the input image, and thus covers the whole spatial search space.
Effective black box adversarial attack with handcrafted kernels
We propose a new, simple framework for crafting adversarial examples for black box attacks.
Unproportional mosaicing
Data shift is a gap between data distribution used for training and data distribution encountered in the real-world.
Coastline extraction from ALOS-2 satellite SAR images
The continuous monitoring of a shore plays an essential role in designing strategies for shore protection against erosion.
BBRefinement: an universal scheme to improve precision of box object detectors
We present a conceptually simple yet powerful and flexible scheme for refining predictions of bounding boxes.
Poly-YOLO: higher speed, more precise detection and instance segmentation for YOLOv3
We present a new version of YOLO with better performance and extended with instance segmentation called Poly-YOLO.
