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보존된 평가 기록

1

코드

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

https://github.com/AKASH2907/bird-species-classification

Mask R-CNN

https://github.com/AKASH2907/bird_species_classification

Mask R-CNN

https://github.com/AMD-AIG-AIMA/ReNeg

ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation

https://github.com/AP-EPFL/DA-segmentation-driven-pose

Estimating 6D Pose From Localizing Designated Surface Keypoints

https://github.com/ARMUGHAN-SHAHID/MoboDensepose

DensePose: Dense Human Pose Estimation In The Wild

https://github.com/AaltoVision/relativeCameraPose

Relative Camera Pose Estimation Using Convolutional Neural Networks

https://github.com/Aanisha/SuperResolution

Image Super-Resolution Using Deep Convolutional Networks

https://github.com/AbdullahAlsalamah/Artathon_123_G.V

A Neural Algorithm of Artistic Style

https://github.com/AbdulrahmanCE/-pneumonia-detection-

CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning

https://github.com/AbhinavJhanwar/Neural-Style-Transfer

A Neural Algorithm of Artistic Style

https://github.com/AbhinavTalari/Night2Day

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/AbhinayReddyYarva/SuperResolution

Image Super-Resolution Using Deep Convolutional Networks

https://github.com/Abhis-123/TextToImage

Generative Adversarial Text to Image Synthesis

https://github.com/AbiterVX/ST-GCN

Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

https://github.com/Adi-iitd/AI-Art

A Neural Algorithm of Artistic Style

https://github.com/Adrianceja01/Neural-Transfer

A Neural Algorithm of Artistic Style

https://github.com/AemikaChow/DATASOURCE

Fashion Landmark Detection in the Wild

https://github.com/Aflutter-Craft/Network

Arbitrary Style Transfer with Style-Attentional Networks

https://github.com/AhsanAliLodhi/curriculum_learning_blenderproc

BlenderProc

https://github.com/AimAlex/Multi-view-3D-Human-Pose

A generalizable approach for multi-view 3D human pose regression

https://github.com/AkashGanesan/PedestrianAttention

Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields

https://github.com/Akella17/Voice_Style_Transfer

A Neural Algorithm of Artistic Style

https://github.com/AlbanSeurat/keras-style-transfer

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

https://github.com/AlberetOZ/WondeRobe_Clothes_test

DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images

https://github.com/Alex-Norden/NST

A Neural Algorithm of Artistic Style

https://github.com/AlexAdamov/StylizedPic

Exploring the structure of a real-time, arbitrary neural artistic stylization network

https://github.com/AlexEMG/DeepLabCut

Deep learning tools for the measurement of animal behavior in neuroscience

https://github.com/AlexHex7/SimGAN_pytorch

Learning from Simulated and Unsupervised Images through Adversarial Training

https://github.com/Alexander-Whelan/Zeus

Mask R-CNN

https://github.com/Aliasgarsaifee/HackInIndia

VITON: An Image-based Virtual Try-on Network

https://github.com/Alina9/Neural-Style-Transfer-

A Neural Algorithm of Artistic Style

https://github.com/Alina9/Style-transfer

Perceptual Losses for Real-Time Style Transfer and Super-Resolution

https://github.com/Alioth2000/RASVSR

https://github.com/AloneGu/keras_tf_neural_img

Perceptual Losses for Real-Time Style Transfer and Super-Resolution

https://github.com/AlongRide/CenterNet_anchor_free

Objects as Points

https://github.com/AlongRide/Py3torch_HigherHRNet

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation

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