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attention mechanism
4001 papers
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Also known as
AM
ATTENTION
Co-occurring keywords
neural network
(6616)
convolutional neural network
(4226)
multimodal learning
(4645)
transformer architecture
(1560)
graph neural network
(3962)
recurrent neural network
(1790)
text classification
(6793)
representation learning
(6206)
large language model
(13587)
neural machine translation
(2310)
Papers
Hierarchical Graph Attention Network for Visual Relationship Detection
CVPR 2020
ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning
CVPR 2020
Squeeze-and-Attention Networks for Semantic Segmentation
CVPR 2020
Attention-Guided Hierarchical Structure Aggregation for Image Matting
CVPR 2020
Learning Selective Self-Mutual Attention for RGB-D Saliency Detection
CVPR 2020
Multi-Granularity Reference-Aided Attentive Feature Aggregation for Video-Based Person Re-Identification
CVPR 2020
Attention Convolutional Binary Neural Tree for Fine-Grained Visual Categorization
CVPR 2020
Transform and Tell: Entity-Aware News Image Captioning
CVPR 2020
RiFeGAN: Rich Feature Generation for Text-to-Image Synthesis From Prior Knowledge
CVPR 2020
SCATTER: Selective Context Attentional Scene Text Recognizer
CVPR 2020
IMRAM: Iterative Matching With Recurrent Attention Memory for Cross-Modal Image-Text Retrieval
CVPR 2020
Visual-Semantic Matching by Exploring High-Order Attention and Distraction
CVPR 2020
Spatial Pyramid Based Graph Reasoning for Semantic Segmentation
CVPR 2020
FGN: Fully Guided Network for Few-Shot Instance Segmentation
CVPR 2020
Seeing without Looking: Contextual Rescoring of Object Detections for AP Maximization
CVPR 2020
SaccadeNet: A Fast and Accurate Object Detector
CVPR 2020
Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation
CVPR 2020
Listen to Look: Action Recognition by Previewing Audio
CVPR 2020
Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection
CVPR 2020
Answer Generation through Unified Memories over Multiple Passages
IJCAI 2020
Accurate Word Alignment Induction from Neural Machine Translation
EMNLP 2020
Multi-Unit Transformers for Neural Machine Translation
EMNLP 2020
Attention is Not Only a Weight: Analyzing Transformers with Vector Norms
EMNLP 2020
Improve Transformer Models with Better Relative Position Embeddings
EMNLP 2020
Guiding Attention for Self-Supervised Learning with Transformers
EMNLP 2020
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