Jan 31, 2016 · We conduct experiments on two challenging video-based action recognition datasets, HMDB51 and UCF101; and demonstrate that the proposed method ...

To better capture the frame order information for action recognition, we propose a novel temporal pooling method to aggregate the frame-level representations.

This paper builds upon two-stream ConvNets and proposes Deep networks with Temporal Pyramid Pooling (DTPP), an end-to-end video-level representation ...

Jan 31, 2016 · We conduct experiments on two challenging video-based action recognition datasets, HMDB51 and UCF101; and demonstrate that the proposed method ...

The proposed pooling method achieves promising action recognition performance while maintaining a tractable amount of model parameters. 摘要. •We propose a ...

Order-aware convolutional pooling for video based action recognition. Highlights. We propose a novel temporal pooling approach to aggregate the frame-level ...

Order-aware convolutional pooling for video based action recognition. Peng ... Temporal pyramid pooling-based convolutional neural network for action recognition.

Order-aware convolutional pooling for video based action recognition.

Nov 13, 2023 · In this research paper, we introduce a novel human action recognition model named Context-Aware Memory Attention Network (CAMA-Net), which eliminates the need ...

Order-aware Convolutional Pooling for Video Based Action Recognition ... Pattern Recognit. 2019. 24 Citations · PDF.