Semantic Segmentation
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/2023-MindSpore-1/ms-code-213/tree/main/fastscnn
https://github.com/2023-MindSpore-1/ms-code-214/tree/main/FCOS
https://github.com/2023-MindSpore-1/ms-code-214/tree/main/HMR
Deep High-Resolution Representation Learning for Visual Recognition
https://github.com/2023-MindSpore-1/ms-code-214/tree/main/HRNetW48_cls
Deep High-Resolution Representation Learning for Visual Recognition
https://github.com/2023-MindSpore-1/ms-code-214/tree/main/HRNetW48_seg
High-Resolution Representations for Labeling Pixels and Regions
https://github.com/2023-MindSpore-1/ms-code-214/tree/main/HireMLP
https://github.com/2023-MindSpore-1/ms-code-214/tree/main/IRN
IRNet: Instance Relation Network for Overlapping Cervical Cell Segmentation
https://github.com/2023-MindSpore-1/ms-code-214/tree/main/IndexNet
https://github.com/2023-MindSpore-1/ms-code-214/tree/main/hardnet
https://github.com/2023-MindSpore-1/ms-code-214/tree/main/hed
HED-UNet: Combined Segmentation and Edge Detection for Monitoring the Antarctic Coastline
https://github.com/2023-MindSpore-1/ms-code-215/tree/main/PSPNet
https://github.com/2023-MindSpore-1/ms-code-215/tree/main/pointtransformer
https://github.com/2023-MindSpore-1/ms-code-216/tree/main/REDNet30
RedNet: Residual Encoder-Decoder Network for indoor RGB-D Semantic Segmentation
https://github.com/2023-MindSpore-1/ms-code-216/tree/main/RefineNet
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
https://github.com/2023-MindSpore-1/ms-code-216/tree/main/ResNeSt50
https://github.com/2023-MindSpore-1/ms-code-216/tree/main/repvgg
https://github.com/2023-MindSpore-1/ms-code-216/tree/main/res2net
https://github.com/2023-MindSpore-1/ms-code-216/tree/main/res2net_deeplabv3
Rethinking Atrous Convolution for Semantic Image Segmentation
https://github.com/2023-MindSpore-1/ms-code-216/tree/main/resnet50_adv_pruning
https://github.com/2023-MindSpore-1/ms-code-217/tree/main/TokenFusion
https://github.com/2023-MindSpore-1/ms-code-217/tree/main/UNet3%2B
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
https://github.com/2023-MindSpore-1/ms-code-217/tree/main/Yolact%2B%2B
https://github.com/2023-MindSpore-1/ms-code-217/tree/main/ssd_mobilenetV2
https://github.com/2023-MindSpore-1/ms-code-217/tree/main/ssd_mobilenetV2_FPNlite
https://github.com/2023-MindSpore-1/ms-code-217/tree/main/ssd_resnet34
https://github.com/2023-MindSpore-1/ms-code-217/tree/main/ssd_resnet_34
https://github.com/2023-MindSpore-1/ms-code-217/tree/main/tinydarknet
https://github.com/2023-MindSpore-1/ms-code-217/tree/main/trn
Image-Conditioned Graph Generation for Road Network Extraction
https://github.com/2023-MindSpore-1/ms-code-22
https://github.com/2023-MindSpore-1/ms-code-222/tree/main/pointrend
https://github.com/2023-MindSpore-1/ms-code-223/tree/main/OCRNet
https://github.com/2023-MindSpore-1/ms-code-223/tree/main/PointNet
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/2023-MindSpore-1/ms-code-223/tree/main/PointNet2
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/2023-MindSpore-1/ms-code-224/tree/main/Alexnet
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
https://github.com/2023-MindSpore-1/ms-code-224/tree/main/adelaide_ea
Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.