https://github.com/tzvikif/SuperGlue
SuperGlue: Learning Feature Matching with Graph Neural Networks
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/ucuapps/openglue
SuperGlue: Learning Feature Matching with Graph Neural Networks
https://github.com/uditsharma29/flynet-cann
A Hybrid Compact Neural Architecture for Visual Place Recognition
https://github.com/uzh-rpg/netvlad_tf_open
NetVLAD: CNN architecture for weakly supervised place recognition
https://github.com/valeoai/LOST
https://github.com/valeoai/found
https://github.com/vdvchen/sgmnet
SuperGlue: Learning Feature Matching with Graph Neural Networks
https://github.com/viibridges/crossnet
Cross-View Image Matching for Geo-localization in Urban Environments
https://github.com/vinnik-dmitry07/PlaceRecognition
NetVLAD: CNN architecture for weakly supervised place recognition
https://github.com/visinf/cad
D2-Net: A Trainable CNN for Joint Detection and Description of Local Features
https://github.com/vivek20dadhich/deep-learning-object-detection
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/vohoaiviet/indoor_localization
Low-effort place recognition with WiFi fingerprints using deep learning
https://github.com/vturrisi/solo-learn
https://github.com/waltersimoncini/fungivision
https://github.com/wangvation/torch-mobilenet
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/woctezuma/steam-DINO
https://github.com/xiuyu0000/papers_with_examples/blob/main/MobileNet/mobilenetv1.ipynb
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/xiuyu0000/vision/blob/main/mindvision/classification/models/backbones/mobilenet_v1.py
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/xlearning-scu/2023-iccv-common
SuperGlue: Learning Feature Matching with Graph Neural Networks
https://github.com/yakhyo/retinaface-pytorch
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/yanbeic/Deep-Association-Learning
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/yangyucheng000/mobilenet_v1/blob/main/mobilenet_v1.py
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/yash88600/MobileNet
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/ylqi/count-anything
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/yuhsijen/Object-Detector
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/yuuun/clip_pytorch
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/yxgeee/SFRS
NetVLAD: CNN architecture for weakly supervised place recognition
https://github.com/yxgeee/openibl
NetVLAD: CNN architecture for weakly supervised place recognition
https://github.com/zer0sh0t/artificial_intelligence/tree/master/self_supervised_learning_methods/self_distillation_with_no_labels
https://github.com/zhangxu0963/npc
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/zhec/tf-pose-estimation
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/zhu-xlab/softcon
https://github.com/zhucheng725/mobilenetv1_keras
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/zhuyi55/week9
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/zjZSTU/LightWeightCNN
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/zju3dv/LoFTR
SuperGlue: Learning Feature Matching with Graph Neural Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.