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Found 6 papers, 3 papers with code
Implicit and Efficient Point Cloud Completion for 3D Single Object Tracking
The point cloud based 3D single object tracking has drawn increasing attention.
Gaussian Guided IoU: A Better Metric for Balanced Learning on Object Detection
This results in two problems: (1) only one anchor is assigned to most of the slender objects which leads to insufficient supervision information for the slender objects during training and the performance on the slender objects is hurt; (2) IoU can not accurately represent the alignment degree between the receptive field of the feature at the anchor's center and the object.
Carton dataset synthesis method for domain shift based on foreground texture decoupling and replacement
To solve this problem, a novel image synthesis method is proposed to replace the foreground texture of the source datasets with the texture of the target datasets.
SCD: A Stacked Carton Dataset for Detection and Segmentation
In this paper, we present a large-scale carton dataset named Stacked Carton Dataset(SCD) with the goal of advancing the state-of-the-art in carton detection.
IoU-aware Single-stage Object Detector for Accurate Localization
The detection confidence is then used as the input of the subsequent NMS and COCO AP computation, which will substantially improve the localization accuracy of models.
IoU-balanced Loss Functions for Single-stage Object Detection
The IoU-balanced localization loss decreases the gradient of examples with low IoU and increases the gradient of examples with high IoU, which can improve the localization accuracy of models.
