In this paper, we propose a novel visual reason- ing approach for video captioning, named Reason- ing Module Networks (RMN), to equip the ex- isting encoder- ...

Jul 17, 2020 · In this paper, we propose a novel visual reasoning approach for video captioning, named Reasoning Module Networks (RMN), to equip the existing encoder-decoder ...

In this paper, we propose a novel visual reasoning approach for video captioning, named Reasoning Module Networks (RMN), to equip the existing ...

A novel visual reasoning approach for video captioning, named Reasoning Module Networks (RMN), to equip the existing encoder-decoder framework with the ...

In this paper, we propose a novel visual reasoning approach for video captioning, named Reasoning Module Networks (RMN), to equip the existing encoder-decoder ...

@inproceedings{ijcai2020p104, title = {Learning to Discretely Compose Reasoning Module Networks for Video Captioning}, author = {Tan, Ganchao and Liu ...

Learning to Discretely Compose Reasoning Module Networks for Video Captioning (IJCAI2020). Introduction. This code is the Pytorch implementation of RNM forked ...

Reasoning module networks (RMN) [17] combine different types of video features by soft-attention mechanism to reason target words. Whereas, these methods only ...

Jul 17, 2020 · In this paper, we proposed a novel reasoning neural module networks (RMN) for video captioning that performs visual reasoning on each step along ...

Sep 21, 2024 · Learning to Discretely Compose Reasoning Module Networks for Video Captioning. IJCAI 2020: 745-752. [i7]. view. electronic edition @ arxiv.org ...