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Deep Learning
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Attention
1084 directly classified papers
Papers per year
2010: 1
2014: 3
2015: 3
2016: 14
2017: 59
2018: 115
2019: 202
2020: 187
2021: 150
2022: 99
2023: 83
2024: 90
2025: 78
Papers
Beyond Tracking: Selecting Memory and Refining Poses for Deep Visual Odometry
CVPR 2019
Attention-Based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions
CVPR 2019
Interaction-And-Aggregation Network for Person Re-Identification
CVPR 2019
Object Detection With Location-Aware Deformable Convolution and Backward Attention Filtering
CVPR 2019
LSTA: Long Short-Term Attention for Egocentric Action Recognition
CVPR 2019
Cross-Modal Self-Attention Network for Referring Image Segmentation
CVPR 2019
Complete the Look: Scene-Based Complementary Product Recommendation
CVPR 2019
Attention Based Glaucoma Detection: A Large-Scale Database and CNN Model
CVPR 2019
Grounding Human-To-Vehicle Advice for Self-Driving Vehicles
CVPR 2019
Attention Branch Network: Learning of Attention Mechanism for Visual Explanation
CVPR 2019
Modulating Image Restoration With Continual Levels via Adaptive Feature Modification Layers
CVPR 2019
Second-Order Attention Network for Single Image Super-Resolution
CVPR 2019
QATM: Quality-Aware Template Matching for Deep Learning
CVPR 2019
Object-Driven Text-To-Image Synthesis via Adversarial Training
CVPR 2019
Learning Parallax Attention for Stereo Image Super-Resolution
CVPR 2019
PCAN: 3D Attention Map Learning Using Contextual Information for Point Cloud Based Retrieval
CVPR 2019
Multi-Level Multimodal Common Semantic Space for Image-Phrase Grounding
CVPR 2019
Cross Attention Network for Few-shot Classification
NIPS 2019
Compositional De-Attention Networks
NIPS 2019
Semantic-Guided Multi-Attention Localization for Zero-Shot Learning
NIPS 2019
Controllable Text-to-Image Generation
NIPS 2019
Stand-Alone Self-Attention in Vision Models
NIPS 2019
Image Captioning: Transforming Objects into Words
NIPS 2019
Fast Structured Decoding for Sequence Models
NIPS 2019
Saccader: Improving Accuracy of Hard Attention Models for Vision
NIPS 2019
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