论文阅读：Detecting and Recognizing Human-Object Interactions

时间 2021-01-02

标签 scene understanding 繁體版

原文原文链接

InteractNet（CVPR2018）文章链接 V-COCO ：40.0% 首先用RPN得到proposal，然后用RoIAlign提取每个proposal的特征。接下来： - object detection分支，进行box regression和classification； - human-centric分支，判断box内人的动作，每个动作给一个score，并且尝试定位target物体

>>阅读原文<<

1. Detecting and Recognizing Human-Object Interactions
2. 图像理解--Detecting and Recognizing Human-Object Interactions
3. 【论文笔记】CVPR2018 Detecting and Recognizing Human-Object Interactions
4. cornernet--detecting objects as paired keypoints 论文阅读
5. 论文阅读：Detecting Visual Relationships Using Box Attention
6. 【CV论文阅读】Detecting events and key actors in multi-person videos
7. 论文阅读：Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation
8. 论文阅读：DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution
9. 论文阅读笔记：2020 CVPR Human Object Interactions (HOI) 论文 VSGNet
10. 论文阅读：pix2pix and CycleGAN
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1. Detecting and Recognizing Human-Object Interactions
2. 图像理解--Detecting and Recognizing Human-Object Interactions
3. 【论文笔记】CVPR2018 Detecting and Recognizing Human-Object Interactions
4. cornernet--detecting objects as paired keypoints 论文阅读
5. 论文阅读：Detecting Visual Relationships Using Box Attention
6. 【CV论文阅读】Detecting events and key actors in multi-person videos
7. 论文阅读：Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation
8. 论文阅读：DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution
9. 论文阅读笔记：2020 CVPR Human Object Interactions (HOI) 论文 VSGNet
10. 论文阅读：pix2pix and CycleGAN

>>更多相关文章<<