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보존된 평가 기록

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코드

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

https://github.com/facebookresearch/xformers

Visual Attention Network

https://github.com/factoryIO/1-simple_neural_style_transfer

A Neural Algorithm of Artistic Style

https://github.com/faheinrich/moon_pose_estimation_setup

Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image

https://github.com/faheinrich/moon_pose_with_detectron2

Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image

https://github.com/faizaan09/caption-to-image-generation

Generative Adversarial Text to Image Synthesis

https://github.com/fanchenyou/deepdiary

Show and Tell: A Neural Image Caption Generator

https://github.com/fandulu/Keras-for-Co-occurrence-Feature-Learning-from-Skeleton-Data-for-Action-Recognition

Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation

https://github.com/fangzhenxuan/ufpdeblur

https://github.com/farrell236/SVRnet

Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry

https://github.com/fashn-AI/tryondiffusion

Simple diffusion: End-to-end diffusion for high resolution images

https://github.com/fatLime/Predict-Lung-Disease

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

https://github.com/fatchord/MelNet

MelNet: A Generative Model for Audio in the Frequency Domain

https://github.com/fatihky/starred

Deep Photo Style Transfer

https://github.com/fcr3/OpenVINO_Tutorials

Convolutional Pose Machines

https://github.com/fcr3/wine_detector

Convolutional Pose Machines

https://github.com/fdac18/ForensicImages

Mask R-CNN

https://github.com/fdjingyuan/Deep-Fashion-Analysis-ECCV2018

Fashion Landmark Detection in the Wild

https://github.com/feicccccccc/Neural-ODE-Ex

Neural Ordinary Differential Equations

https://github.com/fenghansen/ESRGAN-Keras

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

https://github.com/fenglian425/Agriculture_AI

High-Resolution Representations for Labeling Pixels and Regions

https://github.com/fenglinglwb/MSPN

Rethinking on Multi-Stage Networks for Human Pose Estimation

https://github.com/fengwang/subpixel_conv2d

Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network

https://github.com/fengyidong123/openpose-master

Convolutional Pose Machines

https://github.com/ferhatkkochan/deeplearning-notes

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

https://github.com/ferseiti/reproducibility

Image Super-Resolution Using Deep Convolutional Networks

https://github.com/feziodoshi/Neural-Artistic-Style-Video-

A Neural Algorithm of Artistic Style

https://github.com/fhshen2022/prunerepaint

High-Resolution Image Synthesis with Latent Diffusion Models

https://github.com/final-0/Real-ESRGAN

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

https://github.com/final-0/Real-ESRGAN-bicubic

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

https://github.com/firenxygao/deblur

https://github.com/fiveai/saod

One Metric to Measure them All: Localisation Recall Precision (LRP) for Evaluating Visual Detection Tasks

https://github.com/fkochan/deeplearning-notes

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

https://github.com/flagopen/flagscale

Emu3: Next-Token Prediction is All You Need

https://github.com/flytocc/PaddleClas

Visual Attention Network

https://github.com/foamliu/GST-Tacotron-v2

Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis

https://github.com/fourseaforfriend/waifu2x

Image Super-Resolution Using Deep Convolutional Networks

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