"from pytorch_faster_rcnn_tutorial.datasets import ObjectDetectionDataSet\n", "from pytorch_faster_rcnn_tutorial.transformations import Clip, ComposeDouble\n", "from ...
What is Mask R-CNN? It is an extension of the Faster R-CNN object detection algorithm that adds an additional branch for predicting segmentation masks on each Region of Interest (RoI), in parallel ...
This study aims at addressing the challenging incremental few-shot object detection (iFSOD) problem toward online adaptive detection. iFSOD targets to learn novel categories in a sequential manner, ...
Abstract: While instance segmentation models excel at object detection in satellite imagery, their performance drops when applied to slant-angled aerial images due to occlusion and scale variation.
Abstract: Accurate and efficient detection of multi-growth-cycle strawberry fruits can improve automated harvesting. However, the small size and unbalanced distribution of strawberry fruits make ...