https://github.com/Gahyeonkim09/AAPL
Learning Transferable Visual Models From Natural Language Supervision
Papers with Code 아카이브
Visual Place Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 3
- 평가표
- 40
- 보존된 평가 기록
- 265
Visual Place Recognition is the task of matching a view of a place with a different view of the same place taken at a different time.
Source: Visual place recognition using landmark distribution descriptors
Image credit: Visual place recognition using landmark distribution descriptors
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Golbstein/GlueStick-tensorflow/blob/main/gluestick.py
GlueStick: Robust Image Matching by Sticking Points and Lines Together
https://github.com/HajimeTaira/InLoc_demo
InLoc: Indoor Visual Localization with Dense Matching and View Synthesis
https://github.com/HeatherJiaZG/SuperGlue-pytorch
SuperGlue: Learning Feature Matching with Graph Neural Networks
https://github.com/IBM/MAX-Object-Detector
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/IMvision12/keras-vision-models
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/JHKim-snu/PGA
https://github.com/JagadishSivakumar/Image-Classifier-ml5.js
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/JeeseongKim/SuperGlue
SuperGlue: Learning Feature Matching with Graph Neural Networks
https://github.com/KaFaiFai/MobileNet-PyTorch
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/KaFaiFai/MobileNet-PyTorch-Converter
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/KarimDahawy/CapStone-Project
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/Kaushalya/medclip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/Kungbohan/EECSMed
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/LeegoChen/PTC-Net
PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition
https://github.com/LinHuiTeng/TrashClassifier
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/MS-Mind/MS-Code-02/tree/main/configs/mobilenetv1
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/Mayurji/Image-Classification-PyTorch
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/MeAmarP/Fruit-Classification
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/Mind23-2/MindCode-2
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/Mind23-2/MindCode-3/tree/main/mobilenetV3_small_x1_0
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/MindSpore-scientific-2/code-10/tree/main/SV-X-Softmax
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/MindSpore-scientific/code-7/tree/main/dino
https://github.com/MrRen-sdhm/Embedded_Multi_Object_Detection_CNN
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/MrRiahi/Convolutional-Neural-Networks-Tensorflow
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/NYU-DICE-Lab/open_clip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/Nanne/pytorch-NetVlad
NetVLAD: CNN architecture for weakly supervised place recognition
https://github.com/Nguyendat-bit/MobilenetV1
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/Nguyendat-bit/MobilenetV2
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/OML-Team/open-metric-learning
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/PaddlePaddle/PASSL
https://github.com/PaddlePaddle/PASSL/blob/main/docs/Train_CLIP_model.md
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/PaddlePaddle/PaddleClas
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/PaddlePaddle/PaddleDetection
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/PaddlePaddle/PaddleOCR
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/PolinaDruzhinina/mobilenet
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.