Papers with Code 아카이브

Object Detection

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전체 기법전체 데이터셋

하위 태스크

39

평가표

124

보존된 평가 기록

977

코드

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

https://github.com/HRNet/HRNet-MaskRCNN-Benchmark

Deep High-Resolution Representation Learning for Human Pose Estimation

https://github.com/HRNet/HRNet-Object-Detection

Deep High-Resolution Representation Learning for Human Pose Estimation

https://github.com/HRNet/HRNet-Semantic-Segmentation

Deep High-Resolution Representation Learning for Human Pose Estimation

https://github.com/HSRW-EMRP-WS1920-Drone/object_detection_and_landing

YOLO9000: Better, Faster, Stronger

https://github.com/HSoo-Kim/SpatioTemporal-AutoEncoder

Abnormal Event Detection in Videos using Spatiotemporal Autoencoder

https://github.com/HadiZayer/UNet_pytorch

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/Hadisalman/robust-verify-benchmark

Towards Deep Learning Models Resistant to Adversarial Attacks

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/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/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/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/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/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.