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add a paper #58

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3 changes: 2 additions & 1 deletion README_multimodal.md
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Expand Up @@ -32,7 +32,8 @@ If you find this repository useful, please consider citing this list:
## Multi-Modality
### Visual Captioning
* General:
* **SAT**: "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention", ICML, 2015. [[paper](https://arxiv.org/abs/1502.03044)]
* **SAT**: "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention", ICML, 2015 (*Université de Montréal*). [[Paper](https://arxiv.org/abs/1502.03044)]
* **SCA-CNN**: "SCA-CNN: Spatial and Channel-wise Attention in Convolutional Networks for Image Captioning", CVPR, 2017 (*Zhejiang University*). [[Paper](https://arxiv.org/abs/1611.05594v2)][[Code](https://github.com/zjuchenlong/sca-cnn.cvpr17)]
* **ETA-Transformer**: "Entangled Transformer for Image Captioning", ICCV, 2019 (*UTS*). [[Paper](https://openaccess.thecvf.com/content_ICCV_2019/html/Li_Entangled_Transformer_for_Image_Captioning_ICCV_2019_paper.html)]
* **M2-Transformer**: "Meshed-Memory Transformer for Image Captioning", CVPR, 2020 (*UniMoRE*). [[Paper](https://arxiv.org/abs/1912.08226)][[PyTorch](https://github.com/aimagelab/meshed-memory-transformer)]
* **MCCFormers**: "Describing and Localizing Multiple Changes with Transformers", ICCV, 2021 (*AIST*). [[Paper](https://arxiv.org/abs/2103.14146)][[Website](https://cvpaperchallenge.github.io/Describing-and-Localizing-Multiple-Change-with-Transformers/)]
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