In this work, we propose a simple yet effective semantics-guided neural network (SGN). We explicitly introduce the high level semantics of joints (joint type and frame index) into the network to enhance the feature representation capability.

2021年2月1日 · This paper considers a video caption generating network referred to as Semantic Grouping Network (SGN) that attempts (1) to group video frames with discriminating word phrases of partially decoded caption and then (2) to decode those semantically aligned groups in predicting the next word.

2019年4月2日 · In this paper, we propose a simple yet effective semantics-guided neural network (SGN) for skeleton-based action recognition. We explicitly introduce the high level semantics of joints (joint type and frame index) into the network to …

In this paper, we propose Sequential Grouping Networks (SGN) to tackle the problem of object instance segmentation. SGNs employ a sequence of neural networks, each solving a sub-grouping problem of increasing semantic complexity in …

In this paper, we propose a simple yet effective semantics-guided neural network (SGN) for skeleton-based action recognition. We explicitly introduce the high level semantics of joints (joint type and frame index) into the network to enhance the feature representation capability.

2020年4月23日 · In this paper we propose a new, efficient and scalable graph deep learning architecture which sidesteps the need for graph sampling by using graph convolutional filters of different size that are amenable to efficient precomputation, allowing extremely fast …

In this paper, we propose a simple yet effective semantics-guided neural network (SGN) for skeleton-based action recognition. We explicitly introduce the high level semantics of joints (joint type and frame index) into the net-work to enhance the feature representation capability.

This is the implementation of CVPR2020 paper “Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition”. - microsoft/SGN

2022年5月24日 · In this paper, we propose a simple yet effective semantics-guided neural network (SGN) for skeleton-based action recognition. We explicitly introduce the high level semantics of joints (joint type and frame index) into the network to enhance the feature representation capability.

2021年9月15日 · In this paper, we propose a simple yet effective semantics-guided neural network (SGN) for skeleton-based action recognition. 我们提出了简单而有效的语义引导 神经网络 用于基于骨架的动作识别。 We explicitly introduce the high level semantics of joints (joint type and frame index) into the network to enhance the feature representation capability.