Learning Embeddings with Centroid Triplet Loss for Object Identification in Robotic Grasping
IEEE Conference on Automation Science and Engineering（2024）
Key words
Centroid,Object Identification,Triplet Loss,Robotic Grasping,Object Detection,Number Of Images,Objective Information,Object Segmentation,Image Retrieval,Foundation Model,Unseen Objects,Deep Neural Network,Single Image,Image Object,Large-scale Datasets,Multilayer Perceptron,Bounding Box,Multiple Images,Segmentation Model,Semantic Segmentation,Query Image,Mask R-CNN,Gallery Images,Number Of Objects,Instance Segmentation,Template Matching,Unlabeled Data,2D Segmentation,Template Matching Method
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