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CVPR2017-Attention-Models

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Paper list.

| | | |
| ------------- |:-------------:| -----:|
| 1     | End-to-End Instance Segmentation with Recurrent Attention |[paper]() [code](https://github.com/renmengye/rec-attend-public)|
| 2 |Temporal Attention-Gated Model for Robust Sequence Classification |[code](https://github.com/wenjiepei/TAGM)|
| 3 | Attention-Aware Face Hallucination via Deep Reinforcement Learning | |
| 4 | Dual Attention Networks for Multimodal Reasoning and Matching | |
| 5 | Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning |[code](https://github.com/jiasenlu/AdaptiveAttention)|
| 6 | Attentional Push: A Deep Convolutional Network for Augmenting Image Salience With Shared Attention Modeling in Social Scenes | |
| 7 |Global Context-Aware Attention LSTM Networks for 3D Action Recognition |[code](https://github.com/bearpaw/pose-attention)|
| 8 |Dynamic Attention-Controlled Cascaded Shape Regression Exploiting Training Data Augmentation and Fuzzy-Set Sample Weighting|[code](https://github.com/FengZhenhua/DAC-CSR)|
| 9 |Multi-Level Attention Networks for Visual Question Answering|[code](https://github.com/kanchen-usc/amc_att)|
| 10 |Look Closer to See Better: Recurrent Attention Convolutional Neural Network for Fine-Grained Image Recognition|[code](https://github.com/Jianlong-Fu/Recurrent-Attention-CNN )|
| 11 |Attentional Correlation Filter Network for Adaptive Visual Tracking|[code](https://github.com/bearpaw/pose-attention)|
| 12 |Multi-Context Attention for Human Pose Estimation| |
| 13 |Supervising Neural Attention Models for Video Captioning by Human Gaze Data| |
| 14 |AMC: Attention guided Multi-modal Correlation Learning for Image Search| |
| 15 |Multi-Attention Network for One Shot Learning| |
| 16 |Episodic CAMN: Contextual Attention-Based Memory Networks With Iterative Feedback for Scene Labeling| |
| 17 |SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning|[code](https://github.com/zjuchenlong/sca-cnn)|
| 18 |Residual Attention Network for Image Classification|[code](https://github.com/buptwangfei/residual-attention-network)|

CVPR2017-Attention-Models

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