Sampling Techniques for Large-Scale Object Detection From Sparsely Annotated Objects.
Yusuke NiitaniTakuya AkibaTommi KerolaToru OgawaShotaro SanoShuji SuzukiPublished in: CVPR (2019)
Keyphrases
- object detection
- scene understanding
- object segmentation
- computer vision
- detecting objects
- real world
- object localization
- d objects
- small scale
- object detectors
- face detection
- category level
- data sets
- object class
- sample size
- viewpoint
- pedestrian detection
- background subtraction
- monte carlo
- attribute values
- complex scenes
- moving objects
- scene recognition
- face recognition
- object hypotheses
- image sequences