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
- 1
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.
https://github.com/fL0n9/SKFAC-MindSpore
https://github.com/fabioasdias/ubao
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/fabiofumarola/ultrayolo
https://github.com/fabxy/accessibilityCV
https://github.com/facebook/fb.resnet.torch
https://github.com/facebookarchive/fb.resnet.torch
https://github.com/facebookresearch/DomainBed
https://github.com/facebookresearch/detectron
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/facebookresearch/hiera
https://github.com/facebookresearch/pycls
https://github.com/facebookresearch/stochastic_gradient_push
https://github.com/facundoq/transformational_measures_experiments
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/fangzong12/FeatherNet
FeatherNets: Convolutional Neural Networks as Light as Feather for Face Anti-spoofing
https://github.com/fastai/fastai
https://github.com/fchollet/deep-learning-models
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/felixgwu/img_classification_pk_pytorch
https://github.com/fengredrum/cnn-xla
https://github.com/ffletcherr/face-recognition-liveness
Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection
https://github.com/fiftywu/Coarse2Fine-DSIT
Empty Cities: a Dynamic-Object-Invariant Space for Visual SLAM
https://github.com/flshyi/PLSLAM
PL-SLAM: a Stereo SLAM System through the Combination of Points and Line Segments
https://github.com/francislata/Sign-Language-Digits-CNN
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/fshamshirdar/DeepVO
DeepVO: Towards End-to-End Visual Odometry with Deep Recurrent Convolutional Neural Networks
https://github.com/gatheluck/Stronghold
https://github.com/gcr/torch-residual-networks
https://github.com/ginn24/RefineDet-1
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/gitlimlab/Representation-Learning-by-Learning-to-Count
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/glouppe/info8010-deep-learning
https://github.com/godwinrayanc/YOLOv1-Pytorch
https://github.com/gogojjh/ESVO_extension
https://github.com/google/flax/tree/master/examples/imagenet
https://github.com/gopi-kampli/ImageClusteringDL
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/gpleiss/limits_of_large_width
https://github.com/gpspelle/Crowd-Counting
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/greatsharma/DeepLearning-Papers-Implementation
https://github.com/griffinbran/machines_best_friend
Very Deep Convolutional Networks for Large-Scale Image Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.