
liujf69/EPP-Net-Action - GitHub
This is the official repo of EPP-Net and our work Explore Human Parsing Modality for Action Recognition is accepted by CAAI Transactions on Intelligence Technology (CAAI TRIT), 2024. …
EPP-Net: Extreme-Point-Prediction-Based Object Detection
2021年4月29日 · The proposed EPP-Net provides a new method to detect objects and outperforms state-of-the-art anchor-free detectors. Subjects: Computer Vision and Pattern …
In this paper, we provide EPP-Net, a simple yet effec-tive fully convolutional one-stage object detection method, which densely predicts the relative displacement vector be-tween each …
Explore Human Parsing Modality for Action Recognition
We propose a new dual-branch framework called Ensemble Human Parsing and Pose Network (EPP-Net), which is the first to leverage both skeletons and human parsing modalities for …
Explore Human Parsing Modality for Action Recognition - arXiv.org
2024年1月4日 · Based on the novel human parsing modality, we propose an Ensemble Human Parsing and Pose Network (EPP-Net) for multimodal-based action recognition. Our EPP-Net …
【2024年1月5日】 论文 - 知乎 - 知乎专栏
2024年1月5日 · 作者提出一种新的双分支框架,称为集成人体解析和姿势网络(EPP-Net),这是第一个利用骨骼和人体解析模态进行行为识别的方法。 第一个人体姿势分支在图卷积网络中 …
liujf69 (Jinfu Liu) - GitHub
[ICMEW 2024] Implementation of the paper “HDBN: A Novel Hybrid Dual-branch Network for Robust Skeleton-based Action Recognition“. Simple code demos about classic AIGC …
CS - Computer Vision and Pattern Recognition - X-MOL - X-MOL …
我们提出了一个名为 Ensemble Human Parsing and Pose Network (EPP-Net) 的新双分支框架,它是第一个利用骨架和人体解析模式进行动作识别的框架。 第一个人体姿势分支在图卷积 …
EPP-Net: Extreme-Point-Prediction-Based Object Detection
2021年4月29日 · On the MS-COCO dataset, our method achieves an average precision (AP) of 39.3 The proposed EPP-Net provides a new method to detect objects and outperforms state …
EPP-Net-Action/README.md at master - GitHub
This is the official repo of EPP-Net and our work Explore Human Parsing Modality for Action Recognition is accepted by CAAI Transactions on Intelligence Technology (CAAI TRIT), 2024. …