Papers with Code 아카이브
2D Classification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/NatGr/Master_Thesis
A Closer Look at Structured Pruning for Neural Network Compression
https://github.com/NataliaSkorokhod/neural-style-transfer
https://github.com/NateKoenig/https-github.com-Kautenja-a-neural-algorithm-of-artistic-style
https://github.com/NathanDeMaria/AugmentedCycleGAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/Nathangitlab/Backdoor-Attacks-on-Crowd-Counting
https://github.com/NaturalHistoryMuseum/semantic-segmentation
Rethinking Atrous Convolution for Semantic Image Segmentation
https://github.com/Neroxn/Style-Aware-Normalized/tree/main/Project_Kargi
Style-Aware Normalized Loss for Improving Arbitrary Style Transfer
https://github.com/Net-Mist/style-transfer-tf2
Instance Normalization: The Missing Ingredient for Fast Stylization
https://github.com/NeuralVFX/lighting-swap-cyclegan
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/Nguyendat-bit/MobilenetV1
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/Nguyendat-bit/MobilenetV2
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/Nguyendat-bit/U-net
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/Nicholasli1995/EgoNet
M3D-RPN: Monocular 3D Region Proposal Network for Object Detection
https://github.com/NicicDamjan/SoftKompjuting
https://github.com/NicolaBernini/PaperAnalysis_ICLR2021_NegativeDataAugmentation
https://github.com/NicoleEic/Brainhack_Oxbridge
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/Nikhil619/Autonomous-driving-with-camera-using-Yolo
https://github.com/Nikhil619/Motion-direction-control-of-a-pi-robot-using-hand-movementss
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/Nikolai10/Diffusion-TF
Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration
https://github.com/Nioolek/PPYOLOE_pytorch
https://github.com/Nirav-Agarwal/GANs
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/NiravRaiyani/Mask-R-CNN-for-water-detection
https://github.com/Nithesh5/torch-adni-bagging-with-attentional
https://github.com/Nithesh5/torch-adni-bootstrap-with-attentional
https://github.com/NitishaS-812k/Monet-CycleGAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/NiucunCode/Deep-Learning-proj2
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/NoMorningstar/style-transfer-1
https://github.com/NonMagneticNeedle/vision.ai
https://github.com/NovasMax/R3Det-Refined-Single-Stage-Detector-with-Feature-Refinement-for-RO
https://github.com/NovasMax/yolov3
https://github.com/Nullius-2020/MAE-Paddle
https://github.com/NullspaceSF/AAS
Adversarial Semi-Supervised Audio Source Separation applied to Singing Voice Extraction
https://github.com/NullspaceSF/DSSGAN
Adversarial Semi-Supervised Audio Source Separation applied to Singing Voice Extraction
https://github.com/NumericalAdvantage/ld-node-facedetector-2
https://github.com/OFRIN/Tensorflow_FCOS
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.