Visual Entity Detection Task
(Redirected from Visual Entity Identification Task)
An Visual Entity Detection Task is a computer vision task that is a detection task.
- AKA: Visual Entity Identification.
- Context:
- Input: Image Data.
- output: Category Identifier.
- measure(s): Intersection over Union, ...
- It can support a Visual Item Recognition Task.
- Example(s):
- Face Detection.
- Shoes Detection.
- “Which squares contain traffic lights?”
[1] - …
- Counter-Example(s):
- See: Video Surveillance, Computer Vision, Image Processing, Pedestrian Detection, Image Retrieval.
References
2020
- (Hou et al., 2020) ⇒ Jingyi Hou, Xinxiao Wu, Xiaoxun Zhang, Yayun Qi, Yunde Jia, and Jiebo Luo. (2020). “Joint Commonsense and Relation Reasoning for Image and Video Captioning.” In: Proceedings of AAAI-2020.
2017
- (Wikipedia, 2017) ⇒ https://en.wikipedia.org/wiki/object_detection Retrieved:2017-6-2.
- Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class (such as humans, buildings, or cars) in digital images and videos. Well-researched domains of object detection include face detection and pedestrian detection. Object detection has applications in many areas of computer vision, including image retrieval and video surveillance.
2014
- (Zitnick & Dollár, 2014) ⇒ C Lawrence Zitnick, and Piotr Dollár. (2014). “Edge Boxes: Locating Object Proposals from Edges.” In: European Conference on Computer Vision.
- QUOTE: The use of object proposals is an effective recent approach for increasing the computational efficiency of object detection.