SOTAVerified

Deep Attention

Papers

Showing 125 of 109 papers

TitleStatusHype
SGFormer: Single-Layer Graph Transformers with Approximation-Free Linear ComplexityCode3
AllWeatherNet:Unified Image Enhancement for Autonomous Driving under Adverse Weather and Lowlight-conditionsCode2
Deep multi-stations weather forecasting: explainable recurrent convolutional neural networksCode1
Learning to Segment from Scribbles using Multi-scale Adversarial Attention GatesCode1
Hard-Attention for Scalable Image ClassificationCode1
Dan: Deep attention neural network for news recommendationCode1
Lipschitz Normalization for Self-Attention Layers with Application to Graph Neural NetworksCode1
Image Search With Text Feedback by Visiolinguistic Attention LearningCode1
PREDATOR: Registration of 3D Point Clouds with Low OverlapCode1
Towards Deep Attention in Graph Neural Networks: Problems and RemediesCode1
Whole Slide Images based Cancer Survival Prediction using Attention Guided Deep Multiple Instance Learning NetworksCode1
Bridging Textual and Tabular Data for Cross-Domain Text-to-SQL Semantic ParsingCode1
Open-CyKG: An Open Cyber Threat Intelligence Knowledge GraphCode1
Detecting Attended Visual Targets in VideoCode1
Weight Excitation: Built-in Attention Mechanisms in Convolutional Neural NetworksCode1
End-to-end Prostate Cancer Detection in bpMRI via 3D CNNs: Effects of Attention Mechanisms, Clinical Priori and Decoupled False Positive ReductionCode1
Deep Attention-guided Graph Clustering with Dual Self-supervisionCode1
Label Cleaning Multiple Instance Learning: Refining Coarse Annotations on Single Whole-Slide ImagesCode1
Geometry of Lightning Self-Attention: Identifiability and DimensionCode0
Processing Megapixel Images with Deep Attention-Sampling ModelsCode0
Grid Partitioned Attention: Efficient TransformerApproximation with Inductive Bias for High Resolution Detail GenerationCode0
Deep Attention Based Semi-Supervised 2D-Pose Estimation for Surgical InstrumentsCode0
Deep attention-based classification network for robust depth predictionCode0
An Ensemble Framework for Probabilistic Short-Term Load Forecasting Based on BiTCN and Deep Attention NetworksCode0
Fundamental limits of learning in sequence multi-index models and deep attention networks: High-dimensional asymptotics and sharp thresholdsCode0
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