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View all- Yang GChen GHe YYan ZGuo YDing J(2020)Self-Supervised Collaborative Multi-Network for Fine-Grained Visual Categorization of Tomato DiseasesIEEE Access10.1109/ACCESS.2020.30393458(211912-211923)Online publication date: 2020
Pedestrian detection is a fundamental problem in video surveillance. An overwhelming majority of existing detection methods are based on sliding windows with exhaustive multi-scale scanning over the whole frame images which can achieve good accuracy but ...
The efficacy and efficiency of SIFT have made it a state-of-art feature descriptor. It has been widely used in many computer vision applications such as image classification. A large number of methods, e.g. PCA-SIFT, have been contributed to further ...
Pedestrian detection, which is to identify category pedestrian of object and give the position information in the image, is an important and yet challenging task due to the intra-class variation of pedestrians in clothing and articulation. Previous ...
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