https://github.com/2023-MindSpore-1/ms-code-220/tree/main/SRC
SRCN3D: Sparse R-CNN 3D for Compact Convolutional Multi-View 3D Object Detection and Tracking
Papers with Code 아카이브
Object
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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/2023-MindSpore-1/ms-code-220/tree/main/textrcnn
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
https://github.com/2023-MindSpore-1/ms-code-223/tree/main/RetinaNet
https://github.com/2023-MindSpore-1/ms-code-28
ByteTrack: Multi-Object Tracking by Associating Every Detection Box
https://github.com/2023-MindSpore-1/ms-code-32
https://github.com/2023-MindSpore-1/ms-code-39
https://github.com/2023-MindSpore-1/ms-code-44
https://github.com/2023-MindSpore-1/ms-code-48
https://github.com/2023-MindSpore-1/ms-code-51
https://github.com/2023-MindSpore-1/ms-code-6/tree/main/CascadeRCNN
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
https://github.com/2023-MindSpore-1/ms-code-6/tree/main/Pix2PixHD1
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
https://github.com/2023-MindSpore-1/ms-code-6/tree/main/centernet
https://github.com/2023-MindSpore-1/ms-code-6/tree/main/centernet_det
https://github.com/2023-MindSpore-1/ms-code-62
MultiGrain: a unified image embedding for classes and instances
https://github.com/2023-MindSpore-1/ms-code-69
https://github.com/2023-MindSpore-1/ms-code-7/tree/main/tinydarknet
https://github.com/2023-MindSpore-1/ms-code-7/tree/main/tracktor%2B%2B
https://github.com/2023-MindSpore-1/ms-code-80
Homography Decomposition Networks for Planar Object Tracking
https://github.com/2023-MindSpore-4/Code-5/tree/main/m2det
M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network
https://github.com/2023-MindSpore-4/Code-5/tree/main/nas-fpn
NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection
https://github.com/2023-MindSpore-4/Code10/tree/main/FCOS
https://github.com/2023-MindSpore-4/Code10/tree/main/FasterRCNN
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/2023-MindSpore-4/Code10/tree/main/MaskRCNN
https://github.com/2023-MindSpore-4/Code10/tree/main/RetinaNet
https://github.com/2023-MindSpore-4/Code10/tree/main/SSD
https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOv3
YOLOv3 with Spatial Pyramid Pooling for Object Detection with Unmanned Aerial Vehicles
https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOv4
https://github.com/2023-MindSpore-4/Code10/tree/main/hardnet
https://github.com/2023-MindSpore-4/Code11/tree/main/retinanet_resnet101
https://github.com/2023-MindSpore-4/Code11/tree/main/retinanet_resnet152
R-FCN: Object Detection via Region-based Fully Convolutional Networks
https://github.com/2023-MindSpore-4/Code11/tree/main/rfcn
R-FCN: Object Detection via Region-based Fully Convolutional Networks
https://github.com/2023-MindSpore-4/Code12/tree/main/liyang/HDN_mindspore
Homography Decomposition Networks for Planar Object Tracking
https://github.com/2023-MindSpore-4/Code14/tree/main/res2net_faster_rcnn
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/2023-MindSpore-4/Code14/tree/main/rfcn
R-FCN: Object Detection via Region-based Fully Convolutional Networks
https://github.com/2023-MindSpore-4/Code3/tree/main/EfficientDet_d0
https://github.com/2023-MindSpore-4/Code6/tree/main/FPL_MS-main
Rotation Invariant Transformer for Recognizing Object in UAVs
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.