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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/Song-Jingyu/PointPainting

PointPainting: Sequential Fusion for 3D Object Detection

https://github.com/SonginCV/GMPHD_MAF

Mask R-CNN

https://github.com/SonginCV/GMPHD_SAF

Mask R-CNN

https://github.com/SonginCV/MAF_HDA

Mask R-CNN

https://github.com/Sontref/CycleGAN

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

https://github.com/SoonminHwang/rgbt-ped-detection

Multispectral Deep Neural Networks for Pedestrian Detection

https://github.com/Soren-Kierkegaard/MRI-Image-Analysis

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/SpaceNetChallenge/utilities

ImageNet Large Scale Visual Recognition Challenge

https://github.com/Spain2394/darknet

YOLOv3: An Incremental Improvement

https://github.com/SpanoChristian/darknet

YOLOv3: An Incremental Improvement

https://github.com/Spider-scnu/Instance-Segmentation-For-Cancer

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/Spiideo/mmpose

https://github.com/SpikeKing/mobilenet_v3

Searching for MobileNetV3

https://github.com/SravanChittupalli/COVID-19-Mask_detector

YOLOv4: Optimal Speed and Accuracy of Object Detection

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

A Neural Algorithm of Artistic Style

https://github.com/Srijan2001/Keypoint-regression

Real-time 3D Traffic Cone Detection for Autonomous Driving

https://github.com/Srijha09/Making-Images-Artsy-Neural-Style-Transfer

A Neural Algorithm of Artistic Style

https://github.com/Srinidhi-kv/Cancer_metastasis_detection

Detecting Cancer Metastases on Gigapixel Pathology Images

https://github.com/Ssong24/CenterNet_Custom

Objects as Points

https://github.com/StamatisKourkoutas/Brain_Tumor_Segmentation_US_Images

F3Net: Fusion, Feedback and Focus for Salient Object Detection

https://github.com/Stanch-LX/mmdetection

MMDetection: Open MMLab Detection Toolbox and Benchmark

https://github.com/StanfordVL/MinkowskiEngine

Generative Sparse Detection Networks for 3D Single-shot Object Detection

https://github.com/Stanwang1210/HW2-1_One_shot_VC

One-shot Voice Conversion by Separating Speaker and Content Representations with Instance Normalization

https://github.com/Stepan-coder/HandWritenSignatureDetection

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

https://github.com/StephenEkaputra/Mask_RCNN-TinyPascalVOC

Mask R-CNN

https://github.com/StephenPauwels/edbn

BINet: Multi-perspective Business Process Anomaly Classification

https://github.com/StephenPauwels/edbn_ecmlpkdd

BINet: Multi-perspective Business Process Anomaly Classification

https://github.com/StephenStorm/YOLOX

YOLOX: Exceeding YOLO Series in 2021

https://github.com/Stephenfang51/Focal_loss_turtorial

Focal Loss for Dense Object Detection

https://github.com/StevenBanama/Yolo-lite-Gesture

YOLO-LITE: A Real-Time Object Detection Algorithm Optimized for Non-GPU Computers

https://github.com/Stick-To/CenterNet-tensorflow

Objects as Points

https://github.com/StrikerCC/Teaser-plusplus-testing

TEASER: Fast and Certifiable Point Cloud Registration

https://github.com/Suaro/pidroid

Object Detection with Pixel Intensity Comparisons Organized in Decision Trees

https://github.com/Subhadip-1/data_driven_convex_regularization

Learned convex regularizers for inverse problems

https://github.com/Suci2609/generate_train_list.py-

YOLO9000: Better, Faster, Stronger

https://github.com/SudhanshuMishra8826/Style-Transfer-On-Images

A Neural Algorithm of Artistic Style

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