https://dagshub.com/arnavr.neo/VT-LPR
Vehicle and License Plate Recognition with Novel Dataset for Toll Collection
Papers with Code 아카이브
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태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://dagshub.com/arnavr.neo/YOLOX
https://dagshub.com/f2010126/Zero-shot-Instance-Segmentation
https://gitee.com/dakerqinqi/wslnet
A Weakly Supervised Learning Framework for Salient Object Detection via Hybrid Labels
https://gitee.com/gai-shaoyan/mind3d
PointPillars: Fast Encoders for Object Detection from Point Clouds
https://gitee.com/ke-01/tnet_mindspore
Does Thermal Really Always Matter for RGB-T Salient Object Detection?
https://github.com/04RR/SOTA-Vision
Single Image Super-Resolution via a Holistic Attention Network
https://github.com/07Agarg/Image-Resolution-Enhancement-SRCNN
https://github.com/0jason000/GoogleNet
https://github.com/0jason000/MobileNet_V2
https://github.com/0jason000/MobilleNetV3
https://github.com/0jason000/ShuffleNetV1
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
https://github.com/0jason000/convnext
https://github.com/0jason000/mae_vit
https://github.com/0xPr0xy/CoreML
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/0xPr0xy/MobileNet-CoreML
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/0xzayd/Wnet-cGAN
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/1044197988/TF.Keras-Commonly-used-models
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/111qqz/caffe-ssd
https://github.com/123YanZou/SRGAN
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
https://github.com/13274086/Tianchi2020
https://github.com/13952522076/mmdet0
https://github.com/13952522076/mmdet1
https://github.com/1512159/tf-faster-rcnn-medico
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/15517965908/keras-DBPN
https://github.com/15526837635/CenterPoint
https://github.com/15534081591/FairMOT
FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking
https://github.com/163GitHub/AI
https://github.com/16xccheng/keras-unet
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
https://github.com/1991yuyang/YOLOV1-PYTORCH
https://github.com/1hb6s7t/MindSpore-Uncertainty_Calibration_Object_Detection-
A Theoretical and Practical Framework for Evaluating Uncertainty Calibration in Object Detection
https://github.com/2006pmach/awesome-few-shot-object-detection
Multi-Scale Positive Sample Refinement for Few-Shot Object Detection
https://github.com/2020132075/conmae
https://github.com/2023-MindSpore-1/ms-code-117
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/2023-MindSpore-1/ms-code-118
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/2023-MindSpore-1/ms-code-14
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.