https://github.com/JudeLee19/HMNet-End-to-End-Abstractive-Summarization-for-Meetings
A Hierarchical Network for Abstractive Meeting Summarization with Cross-Domain Pretraining
Papers with Code 아카이브
2D Classification
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/JuliaChae/M3D-RPN-Waymo
M3D-RPN: Monocular 3D Region Proposal Network for Object Detection
https://github.com/JulianKnodt/nerf_atlas
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
https://github.com/JunaidCS032/MOTBeyondPixels
Accurate Single Stage Detector Using Recurrent Rolling Convolution
https://github.com/JungminChung/Korean_Struc_Det
https://github.com/JunnYu/x-transformers-paddle
https://github.com/JunshengFu/vehicle-detection
https://github.com/JunweiLiang/Object_Detection_Tracking
https://github.com/JunweiLiang/aicity_action
MViTv2: Improved Multiscale Vision Transformers for Classification and Detection
https://github.com/JusperLee/Conv-TasNet
Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation
https://github.com/JustWon/mystyletransfer
https://github.com/Justin-Tan/generative-compression
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/Jwrede/neural_style_transfer
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
https://github.com/K-Mike/Automatic-salt-deposits-segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/KGML-lab/Generalized-Forward-Inverse-Framework-for-DL4SI
https://github.com/KMnP/fashionpedia-api
https://github.com/KPMG-wiseuniv/AI
Rethinking Atrous Convolution for Semantic Image Segmentation
https://github.com/KUR-creative/SickZil-Machine
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/KaFaiFai/MobileNet-PyTorch
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/KaFaiFai/MobileNet-PyTorch-Converter
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/KaidongLi/tf-3d-alpha
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
https://github.com/Kaif10/Pose-Detection
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/KaimingHe/deep-residual-networks
https://github.com/KaiyangZhou/ssdg-benchmark
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
https://github.com/Kalyan0821/NST
https://github.com/Kalyan0821/myelinfoundry-challenge
https://github.com/KamalM8/Few-Shot-learning-Fashion
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
https://github.com/KamilCendrowicz/NST
https://github.com/KamitaniLab/icnn
https://github.com/Kanaderu/nlp_credibility
DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning
https://github.com/KangDo96/Github-Ranking
https://github.com/KangJier/polarMask
PolarMask: Single Shot Instance Segmentation with Polar Representation
https://github.com/Karan-kapadia/Style-Transfer-karan
https://github.com/KarenUllrich/Tutorial_BayesianCompressionForDL
https://github.com/KarimDahawy/CapStone-Project
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/KarimaCha/CNN_Trust_Prediction
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.