https://github.com/mindspore-ai/models/blob/master/research/cv/efficientnet-b0
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Papers with Code 아카이브
Object Detection
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/mindspore-ai/models/blob/master/research/cv/hardnet
https://github.com/mindspore-ai/models/blob/master/research/cv/ibnnet
Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net
https://github.com/mindspore-ai/models/blob/master/research/cv/mnasnet
MnasNet: Platform-Aware Neural Architecture Search for Mobile
https://github.com/mindspore-ai/models/blob/master/research/cv/mobilenetv3_large
https://github.com/mindspore-ai/models/blob/master/research/cv/retinanet_resnet152
https://github.com/mindspore-ai/models/tree/master/official/cv/deeplabv3
Rethinking Atrous Convolution for Semantic Image Segmentation
https://github.com/mindspore-ai/models/tree/master/official/cv/faster_rcnn
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/mindspore-ai/models/tree/master/official/cv/googlenet
https://github.com/mindspore-ai/models/tree/master/official/cv/maskrcnn
https://github.com/mindspore-ai/models/tree/master/official/cv/mobilenetv1
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/mindspore-ai/models/tree/master/official/cv/mobilenetv2
https://github.com/mindspore-ai/models/tree/master/official/cv/mobilenetv2_quant
https://github.com/mindspore-ai/models/tree/master/official/cv/openpose
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/mindspore-ai/models/tree/master/official/cv/resnet
https://github.com/mindspore-ai/models/tree/master/official/cv/resnet50_quant
https://github.com/mindspore-ai/models/tree/master/official/cv/resnet_thor
https://github.com/mindspore-ai/models/tree/master/official/cv/se_resnext50
https://github.com/mindspore-ai/models/tree/master/official/cv/shufflenetv2
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
https://github.com/mindspore-ai/models/tree/master/official/cv/ssd
https://github.com/mindspore-ai/models/tree/master/official/cv/unet
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/mindspore-ai/models/tree/master/official/cv/yolov4
https://github.com/mindspore-ai/models/tree/master/official/cv/yolov5
https://github.com/mindspore-ai/models/tree/master/research/cv/EGnet
https://github.com/mindspore-ai/models/tree/master/research/cv/EfficientDet_d0
https://github.com/mindspore-ai/models/tree/master/research/cv/FaceAttribute
https://github.com/mindspore-ai/models/tree/master/research/cv/HRNetW48_cls
Deep High-Resolution Representation Learning for Visual Recognition
https://github.com/mindspore-ai/models/tree/master/research/cv/ICNet
ICNet for Real-Time Semantic Segmentation on High-Resolution Images
https://github.com/mindspore-ai/models/tree/master/research/cv/PSPNet
https://github.com/mindspore-ai/models/tree/master/research/cv/RefineDet
https://github.com/mindspore-ai/models/tree/master/research/cv/ResNeSt50
https://github.com/mindspore-ai/models/tree/master/research/cv/STGAN
https://github.com/mindspore-ai/models/tree/master/research/cv/centernet_resnet50_v1
https://github.com/mindspore-ai/models/tree/master/research/cv/convnext
https://github.com/mindspore-ai/models/tree/master/research/cv/fairmot
FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking
https://github.com/mindspore-ai/models/tree/master/research/cv/faster_rcnn_dcn
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.