Beyond Bounding-Box: Convex-Hull Feature Adaptation for Oriented and Densely Packed Object Detection.
Zonghao GuoChang LiuXiaosong ZhangJianbin JiaoXiangyang JiQixiang YePublished in: CVPR (2021)
Keyphrases
- convex hull
- bounding box
- object detection
- object hypotheses
- object categories
- object segmentation
- densely packed
- superpixels
- object recognition
- object classes
- image features
- computer vision
- particle filtering
- training samples
- multi class
- data points
- test images
- training examples
- target object
- feature vectors
- machine learning
- finite set of points