Papers with Code 아카이브

2D Object Detection

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

15

평가표

20

보존된 평가 기록

57

코드

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

https://github.com/giovanniguidi/FCN-keras

Fully Convolutional Networks for Semantic Segmentation

https://github.com/giovanniguidi/deeplabV3-PyTorch

Rethinking Atrous Convolution for Semantic Image Segmentation

https://github.com/giovanniguidi/deeplabV3_Pytorch

Rethinking Atrous Convolution for Semantic Image Segmentation

https://github.com/giovanniguidi/logo-detection

A Deep One-Shot Network for Query-based Logo Retrieval

https://github.com/github-luffy/PFLD_68points_Pytorch

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/githubfa/FCN

Fully Convolutional Networks for Semantic Segmentation

https://github.com/gittar/tensorflow_transfer

MobileNetV2: Inverted Residuals and Linear Bottlenecks

https://github.com/gitting-it-right/gaussian_centernet

Objects as Points

https://github.com/gjp1203/LIV360SV

The Cityscapes Dataset for Semantic Urban Scene Understanding

https://github.com/gloria111/YOLOX_paddle

YOLOX: Exceeding YOLO Series in 2021

https://github.com/glouppe/info8010-deep-learning

Deep Residual Learning for Image Recognition

https://github.com/gmatasci/SemanticSegmentation

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/gmt710/caffe-ssd

SSD: Single Shot MultiBox Detector

https://github.com/gmt710/caffe_gpu

SSD: Single Shot MultiBox Detector

https://github.com/gmum/Zero-Time-Waste

Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges

https://github.com/godhj93/MobileViT

MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer

https://github.com/godspeedcurry/lung-nodule-detection

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

https://github.com/godwinrayanc/YOLOv1-Pytorch

Deep Residual Learning for Image Recognition

https://github.com/gofinge/pointtransformerv2

Point Transformer

https://github.com/gogojjh/M-LOAM

MLOD: Awareness of Extrinsic Perturbation in Multi-LiDAR 3D Object Detection for Autonomous Driving

https://github.com/goksenin-uav/strongsort-pip

StrongSORT: Make DeepSORT Great Again

https://github.com/gokulprasadthekkel/pytorch-multi-class-focal-loss

Focal Loss for Dense Object Detection

https://github.com/gomboskriszta/yolo

YOLOv3: An Incremental Improvement

https://github.com/gomezzz/MSMatch

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/gomezzz/distmsmatch

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/goodxue/CenterNet

Objects as Points

https://github.com/google-deepmind/kinetics-i3d

Going Deeper with Convolutions

https://github.com/google-research/maxim

MaxViT: Multi-Axis Vision Transformer

https://github.com/google-research/morph-net

Fine-Grained Stochastic Architecture Search

https://github.com/google-research/rigl

SNIP: Single-shot Network Pruning based on Connection Sensitivity

https://github.com/google/automl/tree/master/efficientdet

EfficientDet: Scalable and Efficient Object Detection

https://github.com/google/flax/tree/master/examples/imagenet

Deep Residual Learning for Image Recognition

https://github.com/google/prettytensor

Going Deeper with Convolutions

https://github.com/gorjida/ap-unet

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/goswal/Pothole-Detection-Using-Deep-Learning-and-Computer-Vision

YOLOv4: Optimal Speed and Accuracy of Object Detection

https://github.com/goutern/PoseEstimation

Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields

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