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2D Classification

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

https://github.com/Haggaim/On-Learning-Sets-of-Symmetric-Elements

On Learning Sets of Symmetric Elements

https://github.com/HaiqalLM10/YOLO-Vehicle-Counting

YOLO9000: Better, Faster, Stronger

https://github.com/Halesu/4th-ML100Days

Rich feature hierarchies for accurate object detection and semantic segmentation

https://github.com/HaloTrouvaille/YOLO-Multi-Backbones-Attention

Squeeze-and-Excitation Networks

https://github.com/HanYong201308/Pytorch-UNet2

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/Hanson0910/RetinaTrack

RetinaTrack: Online Single Stage Joint Detection and Tracking

https://github.com/Hansxsourse/Cross-Modality-Knowledge-Distillation-for-Multi-modal-Aerial-View-Object-Classification

https://github.com/HaoJunNM/Unet-PretrainedMobilenetV2encoder-Flaskapp

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/HaohanWang/ImageNet-Sketch

Learning Visual Representations for Transfer Learning by Suppressing Texture

https://github.com/HardLaugh/EfficientDet-bifpn

EfficientDet: Scalable and Efficient Object Detection

https://github.com/Hardly-Human/Yolo-Object-Detector

YOLOv4: Optimal Speed and Accuracy of Object Detection

https://github.com/HarmanDotpy/Normalizations-in-Deep-Learning

Deep Residual Learning for Image Recognition

https://github.com/Harrypotterrrr/EDVR

EDVR: Video Restoration with Enhanced Deformable Convolutional Networks

https://github.com/Harsh9524/AquaTrash

https://github.com/Harut0726/my-pointnet-tensorflow

VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection

https://github.com/Harut0726/votenet

Deep Hough Voting for 3D Object Detection in Point Clouds

https://github.com/Hayashi-Yudai/ML_models

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/HazemLahoual/Project-Machine-Learning

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

https://github.com/Hazqeel09/ellzaf_ml

Understanding the Role of the Projector in Knowledge Distillation

https://github.com/He-Zhenwei/MAF

Multi-adversarial Faster-RCNN for Unrestricted Object Detection

https://github.com/He-jerry/DSSNet

ResNeSt: Split-Attention Networks

https://github.com/He-jerry/U2Net-Tensorflow

U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection

https://github.com/HeapHop30/graph-attention-nets

Geometric deep learning on graphs and manifolds using mixture model CNNs

https://github.com/HedgehogCode/deep-plug-and-play-prior

Plug-and-Play Image Restoration with Deep Denoiser Prior

https://github.com/HedgehogCode/denoising-gan

Plug-and-Play Image Restoration with Deep Denoiser Prior

https://github.com/Hedgehogues/HoChiMinh

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/Heedeok/frustum-pointnets-rgbd

Frustum PointNets for 3D Object Detection from RGB-D Data

https://github.com/HeegonJin/yolov1

YOLOv4: Optimal Speed and Accuracy of Object Detection

https://github.com/HelenGuohx/cv-ferattn-code

Burst ranking for blind multi-image deblurring

https://github.com/Helmholtz-AI-Energy/TBBRDet

https://github.com/HengWeiBin/CenterFusionDetect3D

CenterFusion: Center-based Radar and Camera Fusion for 3D Object Detection

https://github.com/HenonBamboo/PSPNet-MindSpore

Pyramid Scene Parsing Network

https://github.com/HenryCWoo/LTLProject

Prototypical Networks for Few-shot Learning

https://github.com/Hernandope/keras_resnet_FPN_cifar10

Feature Pyramid Networks for Object Detection

https://github.com/HiKapok/SSD.TensorFlow

SSD: Single Shot MultiBox Detector

https://github.com/HighCWu/stylegan2-paddle

Efficient Attention: Attention with Linear Complexities

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