Highlights in Science Engineering and Technology · 2022 · 47 citations · 16 references
ComputingComputer ScienceArtificial IntelligenceComputer VisionMachine LearningDeep LearningObject DetectionObject RecognitionPattern RecognitionRepresentation LearningObject ClassificationSystematic Literature Review
Object detection is one of the most basic and challenging tasks in image and video domains. The research on computer vision tasks is getting more and more attention, such as some tasks: object classification, object monitoring, etc. This paper provides a literature review that summarizes the detailed algorithms and application scenarios for object detection. Analysing and summarizing the latest research results in the current Object detection field, and summarize the relevant data sets and evaluation indicators, and based on this, summarize the current research problems in the Object detection field, and discuss the future research challenges in the Object detection field. possible future research directions.
16
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky, Jia Deng, Hao Su et al. · International Journal of Computer Vision · 2015 · 40.2K citations
Deep Learning for Generic Object Detection: A Survey
Li Liu, Wanli Ouyang, Xiaogang Wang et al. · International Journal of Computer Vision · 2019 · 2.8K citations · Full text
Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
Peize Sun, Rufeng Zhang, Yi Jiang et al. · 2021 · 1.4K citations
Dynamic Head: Unifying Object Detection Heads with Attentions
Xiyang Dai, Yinpeng Chen, Bin Xiao et al. · 2021 · 937 citations