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2D Classification

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코드

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

https://github.com/TangShengqin/ATSS-Pytorch

Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection

https://github.com/TangShengqin/DynamicRCNN-mmdet

Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training

https://github.com/TanguyJeanneau/white-mirror

A Neural Algorithm of Artistic Style

https://github.com/TanyaChutani/SSD-Tensorflow

SSD: Single Shot MultiBox Detector

https://github.com/TanyaChutani/SSD-Tensorflow2.0

A Solution to Product detection in Densely Packed Scenes

https://github.com/TanyaChutani/Squeeze-and-Excitation-Networks-ResNet50-Tf2.0

Squeeze-and-Excitation Networks

https://github.com/TanyaChutani/U-Net

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/Tao-Mind/QDD_Net

SQuAD: 100,000+ Questions for Machine Comprehension of Text

https://github.com/Taoudi/Monet-ization-of-Images

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

https://github.com/Tashnim-Chowdhury/FloodNet-Challenge-EARTHVISION2021

FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding

https://github.com/TeamA2020/Practice

DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution

https://github.com/Techyee/darknet_resource

YOLO9000: Better, Faster, Stronger

https://github.com/Tee0125/pytorch-fast-style-transfer

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

https://github.com/TejasBajania/Mtech_pro

Mask R-CNN

https://github.com/TejasBajania/Mtech_thesis_project

Mask R-CNN

https://github.com/TenglunTan/Multi-armed-bandits

A Contextual-Bandit Approach to Personalized News Article Recommendation

https://github.com/ThanasisMattas/smartflow

Deep Residual Learning for Image Recognition

https://github.com/ThanhDinhDat/center_net_points

Objects as Points

https://github.com/The-AI-Summer/self_attention

Stand-Alone Self-Attention in Vision Models

https://github.com/The-GAN-g/DeblurGAN

DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks

https://github.com/TheClub4/car-detection-yolov2

You Only Look Once: Unified, Real-Time Object Detection

https://github.com/TheConfused1/Real-time-neural-style-transfer

A Neural Algorithm of Artistic Style

https://github.com/TheConstant3/MobileNetV3-Keras

Searching for MobileNetV3

https://github.com/TheHidden1/YOLO.JS

YOLO9000: Better, Faster, Stronger

https://github.com/TheInfamousWayne/UNet

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/TheLaoLab/UIBDiffusion

UIBDiffusion: Universal Imperceptible Backdoor Attack for Diffusion Models

https://github.com/TheRealBaka/Models-in-PyTorch

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/TheTrveAnthony/no-Green

Rethinking Atrous Convolution for Semantic Image Segmentation

https://github.com/TheUser0815/unetpp-pytorch

UNet++: A Nested U-Net Architecture for Medical Image Segmentation

https://github.com/Thehunk1206/Covid-19-chest-X-ray

Deep Residual Learning for Image Recognition

https://github.com/Thehunk1206/Covid-19-covidcnn

Deep Residual Learning for Image Recognition

https://github.com/Thehunk1206/Image-Restorers

Simple Baselines for Image Restoration

https://github.com/Thehunk1206/PRANet-Polyps-Segmentation

PraNet: Parallel Reverse Attention Network for Polyp Segmentation

https://github.com/Theopetitjean/DenseFusion_R_Invariant

DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion

https://github.com/ThiagoPiovesan/PeopleCounter_module

SSD: Single Shot MultiBox Detector

https://github.com/ThierryBarros/reproduction-textrank

WikiHow: A Large Scale Text Summarization Dataset

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