Detection Hub: Unifying Object Detection Datasets via Query Adaptation on Language Embedding.
Lingchen MengXiyang DaiYinpeng ChenPengchuan ZhangDongdong ChenMengchen LiuJianfeng WangZuxuan WuLu YuanYu-Gang JiangPublished in: CoRR (2022)
Keyphrases
- object detection
- pascal voc
- database
- vector space
- computer vision
- human detection
- query processing
- response time
- object class
- multi class
- scene understanding
- query language for xml
- rewriting rules
- query formulation
- visual query language
- pedestrian detection
- object categories
- language learning
- background subtraction
- keywords
- data structure
- face detection
- object recognition
- object detection and pose estimation
- object segmentation
- programming language
- user queries
- object detectors
- natural language
- algebraic operations
- language constructs
- xml query languages
- query language
- data sources
- relevance feedback
- database queries
- query expansion
- detection algorithm
- retrieval systems
- million images
- natural language queries
- query evaluation
- benchmark datasets
- human body
- multi class object detection