Search Results for author:
Found 5 papers, 2 papers with code
Dynamic Distribution of Edge Intelligence at the Node Level for Internet of Things
In this paper, dynamic deployment of Convolutional Neural Network (CNN) architecture is proposed utilizing only IoT-level devices.
Video Face Recognition System: RetinaFace-mnet-faster and Secondary Search
Ours is suitable for large-scale datasets, and experimental results show that our method is 82% faster than the violent retrieval for the single-frame detection.
Top-Related Meta-Learning Method for Few-Shot Object Detection
Therefore, based on semantic features, we propose a Top-C classification loss (i. e., TCL-C) for classification task and a category-based grouping mechanism for category-based meta-features obtained by the meta-model.
Pixel-Semantic Revise of Position Learning A One-Stage Object Detector with A Shared Encoder-Decoder
They cannot detect objects by semantic features, adaptively.
Utilizing the Instability in Weakly Supervised Object Detection
Weakly supervised object detection (WSOD) focuses on training object detector with only image-level annotations, and is challenging due to the gap between the supervision and the objective.
