Recent Advances of Generic Object Detection with Deep Learning: A Review
Object detection is an important and challenging problem in computer vision. It has been widely applied in many vision tasks, such as object tracking, image segmentation, action recognition, etc. With the rapid development of deep learning, more state-of-the-art object detection methods based on deep learning with some modifications have effectively improved the detection performance. This paper comprehensively reviews object detection methods in the recent five years based on deep learning from object detection framework, including significant advances of the backbone network, multi-scale learning, data augmentation. Finally, we investigate the performance of typical object detection algorithms on popular datasets MS-COCO, PASCAL-VOC, and point out the existing problem for further research.
Code (0)
등록된 구현이 없습니다.
Tasks
Action RecognitionData AugmentationDeep LearningImage SegmentationObjectobject-detectionObject DetectionObject TrackingSemantic SegmentationMethods 이 논문이 사용한 방법론
Similar Papers 제목 키워드 기반
Recent Few-Shot Object Detection Algorithms: A Survey with Performance Comparison
The generic object detection (GOD) task has been successfully tackled by recent deep neural networks, trained by an avalanche of annotated training samples from some common classes. However, it is still non-trivial to ge…
ArticlesFew-Shot Object DetectionMeta-LearningObject+3Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks
Object detection-the computer vision task dealing with detecting instances of objects of a certain class (e.g., 'car', 'plane', etc.) in images-attracted a lot of attention from the community during the last 5 years. Thi…
Objectobject-detectionObject DetectionSurveyRemote Sensing Object Detection Meets Deep Learning: A Meta-review of Challenges and Advances
Remote sensing object detection (RSOD), one of the most fundamental and challenging tasks in the remote sensing field, has received longstanding attention. In recent years, deep learning techniques have demonstrated robu…
Objectobject-detectionObject DetectionA Survey on Object Detection in Optical Remote Sensing Images
Object detection in optical remote sensing images, being a fundamental but challenging problem in the field of aerial and satellite image analysis, plays an important role for a wide range of applications and is receivin…
Objectobject-detectionObject DetectionSurvey+2Occlusion Handling in Generic Object Detection: A Review
The significant power of deep learning networks has led to enormous development in object detection. Over the last few years, object detector frameworks have achieved tremendous success in both accuracy and efficiency. H…
Objectobject-detectionObject DetectionOcclusion Handling