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

https://github.com/aaravamudan2014/SIDDIS

공식 코드

Data-driven Super-Resolution of Flood Inundation Maps using Synthetic Simulations

https://github.com/aavek/aeolus-ocean

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Aeolus Ocean -- A simulation environment for the autonomous COLREG-compliant navigation of Unmanned Surface Vehicles using Deep Reinforcement Learning and Maritime Object Detection

https://github.com/abacusai/long-context

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Giraffe: Adventures in Expanding Context Lengths in LLMs

https://github.com/abanitalebi/Model-Composition

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Model Composition: Can Multiple Neural Networks Be Combined into a Single Network Using Only Unlabeled Data?

https://github.com/abanitalebi/RePaint

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Repaint: Improving the Generalization of Down-Stream Visual Tasks by Generating Multiple Instances of Training Examples

https://github.com/abanitalebi/simrod

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SimROD: A Simple Adaptation Method for Robust Object Detection

https://github.com/abdesselamferdi/g-yolov11

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Lightweight G-YOLOv11: Advancing Efficient Fracture Detection in Pediatric Wrist X-rays

https://github.com/abdoelsayed2016/table-detection-structure-recognition

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Deep learning for table detection and structure recognition: A survey

https://github.com/abdulhannankhan/f2dnet

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F2DNet: Fast Focal Detection Network for Pedestrian Detection

https://github.com/abhi1kumar/deviant

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DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection

https://github.com/abhi1kumar/groomed_nms

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GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection

https://github.com/abhi1kumar/seabird

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SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects

https://github.com/abhineet123/animal_detection

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Animal Detection in Man-made Environments

https://github.com/abhineet123/deep_mdp

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Deep MDP: A Modular Framework for Multi-Object Tracking

https://github.com/abhishekaich27/proscale-pytorch

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Progressive Token Length Scaling in Transformer Encoders for Efficient Universal Segmentation

https://github.com/abhishekbaghel11/Traffic-light-detection-in-adverse-weather-conditions

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Snowy Scenes,Clear Detections: A Robust Model for Traffic Light Detection in Adverse Weather Conditions

https://github.com/abnervictor/hyperthumbnail

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Real-time 6K Image Rescaling with Rate-distortion Optimization

https://github.com/abraham-einstein/smfnet

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A Semantic-Aware and Multi-Guided Network for Infrared-Visible Image Fusion

https://github.com/abrain-one/nn-dataset

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LEMUR Neural Network Dataset: Towards Seamless AutoML

https://github.com/abrain-one/nn-plots

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LEMUR Neural Network Dataset: Towards Seamless AutoML

https://github.com/abrain-one/nn-vr

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LEMUR Neural Network Dataset: Towards Seamless AutoML

https://github.com/abril4416/Mod-Zero-VQA

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Modularized Zero-shot VQA with Pre-trained Models

https://github.com/abukhalaf/FeedbackFromPixels_L4DC2021

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Feedback from Pixels: Output Regulation via Learning-Based Scene View Synthesis

https://github.com/acaelles97/devis

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DeVIS: Making Deformable Transformers Work for Video Instance Segmentation

https://github.com/acecreamu/angularGAN

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Conditional GANs for Multi-Illuminant Color Constancy: Revolution or Yet Another Approach?

https://github.com/acfr/cassdetect

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Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides

https://github.com/acschaefer/ppe

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A Maximum Likelihood Approach to Extract Finite Planes from 3-D Laser Scans

https://github.com/adambielski/move-seg

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MOVE: Unsupervised Movable Object Segmentation and Detection

https://github.com/adamdad/consistentteacher

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Consistent-Teacher: Towards Reducing Inconsistent Pseudo-targets in Semi-supervised Object Detection

https://github.com/adamian98/pulse

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PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models

https://github.com/adeandrade/research

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Conditional and Residual Methods in Scalable Coding for Humans and Machines

https://github.com/adept-thu/RoboFusion

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RoboFusion: Towards Robust Multi-Modal 3D Object Detection via SAM

https://github.com/adept-thu/dual-radar

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Dual Radar: A Multi-modal Dataset with Dual 4D Radar for Autonomous Driving

https://github.com/adiko1997/revit

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ReViT: Enhancing Vision Transformers Feature Diversity with Attention Residual Connections

https://github.com/aditya-vora/FCHD-Fully-Convolutional-Head-Detector

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FCHD: Fast and accurate head detection in crowded scenes

https://github.com/adlab-autodrive/bevfusion

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BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.