Self-training based augmented reality for robust 3D object registration and task assistance Expert Systems with Applications, Volume 238, Part F, 2024, Article 122331 Kyeong-Beom Park,…, Jae Yeol Lee Semantic-aware self-supervised depth estimation for stereo 3D detection Pattern Recognition Letters,...
Robust and efficient object recognition for a humanoid soccer robot[C]// RoboCup 2013: Robot World Cup XVII. 2014:396-407. .Ha¨rtl, A., Visser, U., Ro¨fer, T.: Robust and efficient object recognition for a humanoid soccer robot. In: RoboCup 2013: Robot Soccer World Cup XVII. ...
Meila. A new signature- based method for efficient 3-d object recognition. In Proc. In IEEE Conference on Computer Vision and Pattern Recog nition,... S Ruiz-Correa,LG Shapiro - IEEE 被引量: 102发表: 2001年 Single spin image-ICP matching for efficient 3D object recognition A robust ...
It is fast and very easy to implement. At the same time, it involves minimal parameter tuning, requires no training, and is robust to image scale variation. Experiments on the AIM dataset show that a superior shuffled AUC (sAUC) of 0.7221 is obtained, which is higher than the state-of-...
By using localized patches, not only is the problem of data sparsity solved, but the learned features are robust to occlusions and viewpoint variations. LDELM learns deep localized features in an unsupervised way from random patches of the training data. Each image is then feed-forwarded, patch...
He, T., Shen, C., & van den Hengel, A. (2021). Dyco3d: Robust instance segmentation of 3d point clouds through dynamic convolution. InProceedings of the IEEE/CVF conference on computer vision and pattern recognition(pp. 354–363). ...
In this paper, we introduce a deep learning-enabled mobile application which can run entirely on common low-cost smartphones for efficient and robust herb image recognition with a quite competitive recognition accuracy in resource-limited situations. We hope this application can make contributions to ...
The system exploits a robust machine learning method known as boos... TT Nguyen,Helmut Grabner,Horst Bischof,... - IEEE 被引量: 55发表: 2007年 An Object Extraction Approach for Impervious Surface Classification with Very-High-Resolution Imagery Detailed land cover maps provide important information...
Moreover, CRN with offline setting yields 62.4% NDS, 57.5% mAP on nuScenes test set and ranks first among all camera and camera-radar 3D object detectors.1 Introduction Accurate and robust 3D perception system is crucial for many applications, such as autonomous driving and mobile robot. For ...
Keras EfficientDet includes implementation of Paper 1911.09070 EfficientDet: Scalable and Efficient Object Detection. Det-AdvProp + AutoAugment Paper 2103.13886 Robust and Accurate Object Detection via Adversarial Learning.ModelParamsFLOPsInputCOCO val APtest APT4 Inference EfficientDetD0 3.9M 2.55G 512 34.3 ...