Paper list.
| 1 | End-to-End Instance Segmentation with Recurrent Attention |
paper code |
| 2 | Temporal Attention-Gated Model for Robust Sequence Classification |
code |
| 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 |
| 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 |
| 8 | Dynamic Attention-Controlled Cascaded Shape Regression Exploiting Training Data Augmentation and Fuzzy-Set Sample Weighting |
code |
| 9 | Multi-Level Attention Networks for Visual Question Answering |
code |
| 10 | Look Closer to See Better: Recurrent Attention Convolutional Neural Network for Fine-Grained Image Recognition |
code |
| 11 | Attentional Correlation Filter Network for Adaptive Visual Tracking |
code |
| 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 |
| 18 | Residual Attention Network for Image Classification |
code |