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Deep Attention

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/5vision/DARQN

공식 코드

Deep Attention Recurrent Q-Network

https://github.com/CYFFF/DAAF_re-id

공식 코드

Deep Attention Aware Feature Learning for Person Re-Identification

https://github.com/DIAGNijmegen/prostateMR_3D-CAD-csPCa

공식 코드

End-to-end Prostate Cancer Detection in bpMRI via 3D CNNs: Effects of Attention Mechanisms, Clinical Priori and Decoupled False Positive Reduction

https://github.com/HolmesShuan/Compact-Global-Descriptor

공식 코드

Compact Global Descriptor for Neural Networks

https://github.com/IsmailAlaouiAbdellaoui/weather-forecasting-explanable-recurrent-convolutional-NN

공식 코드

Deep multi-stations weather forecasting: explainable recurrent convolutional neural networks

https://github.com/LCS2-IIITD/HIT-ACL2021-Codemixed-Representation

공식 코드

HIT: A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language Representation

https://github.com/RanSuLab/RAUNet-tumor-segmentation

공식 코드

RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scans

https://github.com/SPOC-group/ExtensiveRankAttention

공식 코드

Bayes optimal learning of attention-indexed models

https://github.com/ShengyuH/OverlapPredator

공식 코드

PREDATOR: Registration of 3D Point Clouds with Low Overlap

https://github.com/Tpap/TNet

공식 코드

Hard-Attention for Scalable Image Classification

https://github.com/ZizhouJia/PDANet

공식 코드

PDANet: Polarity-consistent Deep Attention Network for Fine-grained Visual Emotion Regression

https://github.com/gdasoulas/lipschitznorm

공식 코드

Lipschitz Normalization for Self-Attention Layers with Application to Graph Neural Networks

https://github.com/giannisdaras/ylg

공식 코드

Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models

https://github.com/giovanni-marchetti/NeuroDim

공식 코드

Geometry of Lightning Self-Attention: Identifiability and Dimension

https://github.com/google/neural-tangents

공식 코드

Infinite attention: NNGP and NTK for deep attention networks

https://github.com/gvalvano/multiscale-adversarial-attention-gates

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Learning to Segment from Scribbles using Multi-scale Adversarial Attention Gates

https://github.com/hazananayurt/viref

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Searching for Ambiguous Objects in Videos using Relational Referring Expressions

https://github.com/hrdhrd/MCO-E-Net

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Multi-modal Collaborative Optimization and Expansion Network for Event-assisted Single-eye Expression Recognition

https://github.com/idiap/attention-sampling

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Processing Megapixel Images with Deep Attention-Sampling Models

https://github.com/jayabrata97/Deep-Attention-Driven-Reinforccement-Learning-DAD-RL

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Deep Attention Driven Reinforcement Learning (DAD-RL) for Autonomous Decision-Making in Dynamic Environment

https://github.com/jumponthemoon/allweathernet

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AllWeatherNet:Unified Image Enhancement for Autonomous Driving under Adverse Weather and Lowlight-conditions

https://github.com/mertkayhan/SSL-2D-Pose

공식 코드

Deep Attention Based Semi-Supervised 2D-Pose Estimation for Surgical Instruments

https://github.com/qitianwu/sgformer

공식 코드

SGFormer: Single-Layer Graph Transformers with Approximation-Free Linear Complexity

https://github.com/robotic-vision-lab/Attention-With-Varying-Receptive-Fields-Network

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Thermal Image Super-Resolution Using Second-Order Channel Attention with Varying Receptive Fields

https://github.com/salesforce/TabularSemanticParsing

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Bridging Textual and Tabular Data for Cross-Domain Text-to-SQL Semantic Parsing

https://github.com/sinAshish/Multi-Scale-Attention

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Multi-scale self-guided attention for medical image segmentation

https://github.com/spoc-group/sequenceindexmodels

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Fundamental limits of learning in sequence multi-index models and deep attention networks: High-dimensional asymptotics and sharp thresholds

https://github.com/stevenmsm/rl-icu-daqn

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Deep Attention Q-Network for Personalized Treatment Recommendation

https://github.com/sulam-group/mil-pathology

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Label Cleaning Multiple Instance Learning: Refining Coarse Annotations on Single Whole-Slide Images

https://github.com/syleeheal/aero-gnn

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Towards Deep Attention in Graph Neural Networks: Problems and Remedies

https://github.com/uta-smile/DeepAttnMISL

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Whole Slide Images based Cancer Survival Prediction using Attention Guided Deep Multiple Instance Learning Networks

https://github.com/zalandoresearch/gpa

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Grid Partitioned Attention: Efficient TransformerApproximation with Inductive Bias for High Resolution Detail Generation

https://github.com/zhihaopeng-cityu/dagc

공식 코드

Deep Attention-guided Graph Clustering with Dual Self-supervision

https://github.com/2023-MindSpore-1/ms-code-71

Deep Attention Aware Feature Learning for Person Re-Identification

https://github.com/IsmailAlaouiAbdellaoui/weather-forecasting-explainable-recurrent-convolutional-NN

Deep multi-stations weather forecasting: explainable recurrent convolutional neural networks

https://github.com/Mmhmmmmm/ylg_pytorch

Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models

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