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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/nvlabs/dancing2music

Dancing to Music

https://github.com/o-evgeny/MRCNN_DeepFashion2

Mask R-CNN

https://github.com/oarriaga/neural_image_captioning

Show and Tell: A Neural Image Caption Generator

https://github.com/oarriaga/paz

Perception for Autonomous Systems (PAZ)

https://github.com/odokumaci/pneumonia-rsna

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

https://github.com/oellop/Style_Transfer

A Neural Algorithm of Artistic Style

https://github.com/oist/psgan

Copy the Old or Paint Anew? An Adversarial Framework for (non-) Parametric Image Stylization

https://github.com/ojus1/StyleTransfer

Universal Style Transfer via Feature Transforms

https://github.com/okeer/nst-tele-bot

A Neural Algorithm of Artistic Style

https://github.com/olaviinha/NeuralImageSuperResolution

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

https://github.com/olaviinha/NeuralStyleTransfer

A Neural Algorithm of Artistic Style

https://github.com/oli4jansen/VIBE_old

VIBE: Video Inference for Human Body Pose and Shape Estimation

https://github.com/ololo123321/maestro

This Time with Feeling: Learning Expressive Musical Performance

https://github.com/omer11a/bounded-attention

Be Yourself: Bounded Attention for Multi-Subject Text-to-Image Generation

https://github.com/omerbsezer/NeuralStyleTransfer

A Neural Algorithm of Artistic Style

https://github.com/omerbt/tokenflow

MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation

https://github.com/omglu93/energy_consumption_eda_prediction

XGBoost: A Scalable Tree Boosting System

https://github.com/omkarbhope/Pose-Estimation

Single-Shot Multi-Person 3D Pose Estimation From Monocular RGB

https://github.com/omkarghugarkar007/Neural_Super_Sampling

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

https://github.com/omrifried/NIH_XRay_Faster_RCNN

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

https://github.com/omrifried/RSNA_Chest_X-Ray_Faster_RCNN

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

https://github.com/oneTaken/pytorch_fast_style_transfer

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

https://github.com/onedayatatime0923/Cycle_Mcd_Gan

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

https://github.com/open-catalyst-project/adsorbml

The Open Catalyst 2020 (OC20) Dataset and Community Challenges

https://github.com/open-edge-platform/geti

Mask R-CNN

https://github.com/open-edge-platform/training_extensions

Mask R-CNN

https://github.com/open-mmlab/mmaction2

Non-local Neural Networks

https://github.com/open-mmlab/mmclassification

Visual Attention Network

https://github.com/open-mmlab/mmdetection

Deep High-Resolution Representation Learning for Human Pose Estimation

https://github.com/open-mmlab/mmediting/blob/master/configs/restorers/basicvsr/README.md

BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond

https://github.com/open-mmlab/mmgeneration

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

https://github.com/open-mmlab/mmsegmentation

Deep High-Resolution Representation Learning for Visual Recognition

https://github.com/open-mmlab/mmskeleton

Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

https://github.com/open-mmlab/mmsr

EDVR: Video Restoration with Enhanced Deformable Convolutional Networks

https://github.com/openbmb/minicpm-v

Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages

https://github.com/openpifpaf/openpifpaf

OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association

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