Papers with Code 아카이브
Visual Odometry
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
- 1
- 보존된 평가 기록
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Visual Odometry is an important area of information fusion in which the central aim is to estimate the pose of a robot using data collected by visual sensors.
Source: Bi-objective Optimization for Robust RGB-D Visual Odometry
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
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Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/raghakot/keras-resnet
https://github.com/raguilar-f/Thermal-Face-Recognition-Using-Convolutional-Neural-Networks-and-Transfer-Learning
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/raguilar-f/Thermal-face-recognition-using-transfer-learning
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/rahul-t-p/ASVspoof-2019
https://github.com/rahulchaurasiya1/cautious-waddle
https://github.com/raj-gupta1/Flower-Species-Classification
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/raj-gupta1/Tomato-leaves-disease-Predictor
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/rajneeshaggarwal/google-efficientnet
https://github.com/raulmur/ORB_SLAM2
ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Cameras
https://github.com/realmichaelye/Skin-Lesions-Classifier-ResNet50
https://github.com/renmengqisheng/stereo_multifisheye
ROVO: Robust Omnidirectional Visual Odometry for Wide-baseline Wide-FOV Camera Systems
https://github.com/researchmm/SiamDW
https://github.com/rhero12/Slic
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/richieyoum/Pneumonia-diagnosis
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/rickyHong/tfRecord-Caltech256-repl2
https://github.com/rishabh-vij/Neural_Style_transfer
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/rishabmallick/Sign-language-live-predictor
https://github.com/rizqiamaliatuss/PotatoLeafDiseaseClassification
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/robertofranceschi/Image-classification-on-Caltech101-using-CNNs
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/roblabwh/patchmatch
ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Cameras
https://github.com/roshankoirala/Fire_Detection_Model
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/rtanno21609/AdaptiveNeuralTrees
https://github.com/ruinmessi/RFBNet
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/ry/tensorflow-resnet
https://github.com/sagnik1511/Transfer-Learning-with-Python
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/sahilunagar/VGG16-model
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/saikrishnadas/ResNet-Pytorch
https://github.com/saimj7/Action-Recognition-in-Real-Time
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/saloni1998/Cifar-10
https://github.com/sammyamajumdar/ResNet50
https://github.com/sandipsahajoy/Predicting-Lymphoma-using-CNN-in-Keras
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/sangHa0411/CIFAR100
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.