Global-Local Aggregation with Deformable Point Sampling for Camouflaged Object Detection.
Minhyeok LeeSuhwan ChoChaewon ParkDogyoon LeeJungho LeeSangyoun LeePublished in: CoRR (2022)
Keyphrases
- object detection
- deformable part models
- face detection
- monte carlo
- neighboring points
- scene understanding
- object classification
- object class
- background subtraction
- scene recognition
- random sampling
- pedestrian detection
- data sets
- active learning
- object recognition
- support vector
- image segmentation
- global information
- human detection
- sampling algorithm
- feature selection
- computer vision
- machine learning