Papers with Code 아카이브
Object
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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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/yuanxy92/darknet
https://github.com/yubaoliu/rds-slam
https://github.com/yudie433/darknet
https://github.com/yufu-wang/6d_pose
Semantic keypoint-based pose estimation from single RGB frames
https://github.com/yuhaonankaka/adl_maskrcnn
ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language
https://github.com/yuhsijen/Object-Detector
https://github.com/yuhsuanlin23130/Vehicle-Detection-2019
https://github.com/yui-mhcp/base_dl_project
https://github.com/yukaryote/darknet
https://github.com/yukitsuji/chainer_function
https://github.com/yuliani29/yolotraining
https://github.com/yuntai/deeplearning_detection
https://github.com/yuqj1990/caffe_deeplearning_train
https://github.com/yuqj1990/caffe_train
https://github.com/yuqj1990/deepano_face_train
https://github.com/yuqj1990/deepano_train
https://github.com/yuqj1990/face_train
https://github.com/yuweihao/KERN
https://github.com/yuxi120407/transfer_learning
Collaborative Annotation of Semantic Objects in Images with Multi-granularity Supervisions
https://github.com/yuxng/PoseCNN
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
https://github.com/ywcmaike/TianchiVideoCharacterSegmentationPreliminary
https://github.com/ywsyws/FormationSimplon20200622dlKeras
https://github.com/ywyue/agile3d
AGILE3D: Attention Guided Interactive Multi-object 3D Segmentation
https://github.com/yyliu01/tracoco
Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images
https://github.com/yytang2012/darknet
https://github.com/yzgrfsy/tf-fastrcnn-crop
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/zacks417/faster-rcnn-tf
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/zad1206/simtrack-mindspore
Exploring Simple 3D Multi-Object Tracking for Autonomous Driving
https://github.com/zakroum-hicham/gta-DeepEIou-YOLO
Iterative Scale-Up ExpansionIoU and Deep Features Association for Multi-Object Tracking in Sports
https://github.com/zanmange/darknet
https://github.com/zawlin/cvpr17_vtranse
Visual Translation Embedding Network for Visual Relation Detection
https://github.com/zcablii/lsknet
https://github.com/zck119/3dgan-release
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
https://github.com/zeakey/skeleton
https://github.com/zehzhang/MindreaderNet-Mr.-Net-
A Self Validation Network for Object-Level Human Attention Estimation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.