视频物体检测(VID) Object Detection from Video Tubelets with Convolutional Neural Networks
CUHK出品， TCNN系列，Wang, Xiaogang CVPR2016 CUHK出品 code： https://github.com/myfavouritekk/vdetlib 基于静态图像的CNN目标检测问题已经很多人研究。而基于视频的CNN目标检测问题则是刚刚起步。主要问题是目标检测和跟踪的有效结合。 针对视频中的目标，单独的检测和单独的跟踪都会有波动。 我们的视频目标检测框架图：
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相关文章
- 1. 视频物体检测(VID) T-CNN: Tubelets with Convolutional Neural Networks for Object Detection from Videos
- 2. 视频物体检测(VID) Impression Network for Video Object Detection
- 3. 视频物体检测(VID) FGFA：Flow-Guided Feature Aggregation for Video Object Detection
- 4. Convolutional Neural Networks（week 3）---Object detection
- 5. Video Salient Object Detection via Fully Convolutional Networks
- 6. 视频物体检测(VID) Deep Feature Flow for Video Recognition
- 7. Deep Learning Specialization 4: Convolutional Neural Networks - Week3 - Object Detection
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- 10. Convolutional Neural Network - Object Detection