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Object

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Replace the cat with a British Shorthair cat of the breed with bulging yellow eyes

코드

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

https://github.com/gaopengcuhk/Pretrained-Pix2Seq

Pix2seq: A Language Modeling Framework for Object Detection

https://github.com/gaopengcuhk/Stable-Pix2Seq

Pix2seq: A Language Modeling Framework for Object Detection

https://github.com/gaopengcuhk/Unofficial-Pix2Seq

Pix2seq: A Language Modeling Framework for Object Detection

https://github.com/garrickbrazil/kinematic3d

Kinematic 3D Object Detection in Monocular Video

https://github.com/gary-kaitung/data-science-portfolio

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

https://github.com/gau-nernst/CenterNet

CornerNet: Detecting Objects as Paired Keypoints

https://github.com/gazealytics/gazealytics-master

Predicting Goal-directed Human Attention Using Inverse Reinforcement Learning

https://github.com/gberta/Visual-Spatial-Network

Unsupervised Learning of Important Objects from First-Person Videos

https://github.com/gene-chou/EFPN-detectron2

Extended Feature Pyramid Network for Small Object Detection

https://github.com/geopavlakos/object3d

6-DoF Object Pose from Semantic Keypoints

https://github.com/gfjiangly/CenterNet

Objects as Points

https://github.com/gfoxx29/Image-Captioning

Microsoft COCO: Common Objects in Context

https://github.com/ghadahamed/darknet

YOLO9000: Better, Faster, Stronger

https://github.com/ghamarian/rfcn

R-FCN: Object Detection via Region-based Fully Convolutional Networks

https://github.com/ghaniskn/GCorp-Darknet

YOLO9000: Better, Faster, Stronger

https://github.com/ghif/mtae

Domain Generalization for Object Recognition with Multi-task Autoencoders

https://github.com/ghimiredhikura/Complex-YOLO-V3

Complex-YOLO: Real-time 3D Object Detection on Point Clouds

https://github.com/ghimiredhikura/Complex-YOLOv3

Complex-YOLO: Real-time 3D Object Detection on Point Clouds

https://github.com/gidobot/SilhoNet

SilhoNet: An RGB Method for 6D Object Pose Estimation

https://github.com/gihants/darknet_built

YOLOv4: Optimal Speed and Accuracy of Object Detection

https://github.com/ginn24/RefineDet-1

Single-Shot Refinement Neural Network for Object Detection

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

Objects as Points

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

YOLO9000: Better, Faster, Stronger

https://github.com/gmlee329/InstanceShadowDetection

Instance Shadow Detection

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/godcrampy/re3-custom

Re3 : Real-Time Recurrent Regression Networks for Visual Tracking of Generic Objects

https://github.com/goddoe/hide-and-seek

Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-supervised Object and Action Localization

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

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

https://github.com/gofinge/pointtransformerv2

Point Transformer

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

Focal Loss for Dense Object Detection

https://github.com/gomboskriszta/yolo

YOLOv4: Optimal Speed and Accuracy of Object Detection

https://github.com/gombru/TextFCN

Improving Text Proposals for Scene Images with Fully Convolutional Networks

https://github.com/goodxue/CenterNet

Objects as Points

https://github.com/google-deepmind/spriteworld

COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration

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

Local Metrics for Multi-Object Tracking

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