https://github.com/FenHua/Robust_Logo_Detection
DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution
Papers with Code 아카이브
Object
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Replace the cat with a British Shorthair cat of the breed with bulging yellow eyes
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Feynman27/pytorch-detect-rfcn
R-FCN: Object Detection via Region-based Fully Convolutional Networks
https://github.com/Feynman27/pytorch-detect-to-track
https://github.com/FicmillaR/FicmillaR.github.io
Weighted boxes fusion: Ensembling boxes from different object detection models
https://github.com/FlorentijnD/FairMOT
FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking
https://github.com/FlowWind1999/pointnet-2
https://github.com/FluteXu/ms-project
https://github.com/FuxiaoLiu/LRV-Instruction
Evaluating Object Hallucination in Large Vision-Language Models
https://github.com/Fw9wef/DetectorGAN
https://github.com/GAOwy123/py-faster-rcnn
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/GH3927/Mask-RCNN-applied-to-cranes
https://github.com/GJTNB/reading-memo
Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID
https://github.com/GXYM/Focal-loss
https://github.com/GZQ0723/YoloV4
https://github.com/Gabriel-Macias/robust_frcnn
A Robust Learning Approach to Domain Adaptive Object Detection
https://github.com/GaoangW/TNT
Exploit the Connectivity: Multi-Object Tracking with TrackletNet
https://github.com/Gaurav14cs17/YOLOE
Learning Open-World Object Proposals without Learning to Classify
https://github.com/Gauravsharma-20/Minor-Project
https://github.com/Gavino7/YOLOv3set
https://github.com/Gedeon-m-gedus/compressed_object_detection
https://github.com/GeeGeeWP/SCML
https://github.com/GenDisc/IVR
Evaluating Weakly Supervised Object Localization Methods Right
https://github.com/Genera1Z/SAVi-PyTorch
https://github.com/GenesisDCarmen/C_Reconocimiento_Facial
https://github.com/George-Holbrow-Wilshaw/Human-Protein-Atlas-Kaggle
PCL: Proposal Cluster Learning for Weakly Supervised Object Detection
https://github.com/George-Ogden/Mask-RCNN
https://github.com/George-Zhuang/NetTrack
https://github.com/Ghostish/BAT
Box-Aware Feature Enhancement for Single Object Tracking on Point Clouds
https://github.com/GiaKhangLuu/YOLOv1_from_scratch
https://github.com/GianRomani/YOLOv3-Neural-Networks-project-
https://github.com/GiovanniPasq/DA-Faster-RCNN
Domain Adaptive Faster R-CNN for Object Detection in the Wild
https://github.com/GitHberChen/FCN-Pytorch
https://github.com/Gjiangtao/A-Deep-Supervised-Edge-Optimization-Algorithm-for-Salt-Body-Segmentation
Hypercolumns for Object Segmentation and Fine-grained Localization
https://github.com/Guanghan/CenterNet-Gluon
https://github.com/Guanghan/ROLO
https://github.com/Guanghan/mxnet-centernet
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.