Papers with Code 아카이브
Semantic Segmentation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 29
- 평가표
- 150
- 보존된 평가 기록
- 1,918
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/16xccheng/keras-unet
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
https://github.com/2020-sk49/VFOST
https://github.com/2020132075/conmae
https://github.com/2023-MindSpore-1/ms-code-105
Relieving Long-tailed Instance Segmentation via Pairwise Class Balance
https://github.com/2023-MindSpore-1/ms-code-112
Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud
https://github.com/2023-MindSpore-1/ms-code-114
Omni-supervised Point Cloud Segmentation via Gradual Receptive Field Component Reasoning
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-122
MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image Segmentation
https://github.com/2023-MindSpore-1/ms-code-143
Sparse Instance Activation for Real-Time Instance Segmentation
https://github.com/2023-MindSpore-1/ms-code-144
Temporally Efficient Vision Transformer for Video Instance Segmentation
https://github.com/2023-MindSpore-1/ms-code-149
EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications
https://github.com/2023-MindSpore-1/ms-code-15/tree/main/fcn-4
https://github.com/2023-MindSpore-1/ms-code-16/tree/main/Auto-DeepLab
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation
https://github.com/2023-MindSpore-1/ms-code-16/tree/main/Contents
https://github.com/2023-MindSpore-1/ms-code-16/tree/main/adelaide_ea
Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells
https://github.com/2023-MindSpore-1/ms-code-16/tree/main/augvit
How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers
https://github.com/2023-MindSpore-1/ms-code-162
Deep High-Resolution Representation Learning for Visual Recognition
https://github.com/2023-MindSpore-1/ms-code-167
Rethinking Atrous Convolution for Semantic Image Segmentation
https://github.com/2023-MindSpore-1/ms-code-170
Rethinking Atrous Convolution for Semantic Image Segmentation
https://github.com/2023-MindSpore-1/ms-code-177
https://github.com/2023-MindSpore-1/ms-code-18/tree/main/lenet
LENet: Lightweight And Efficient LiDAR Semantic Segmentation Using Multi-Scale Convolution Attention
https://github.com/2023-MindSpore-1/ms-code-18/tree/main/lite-hrnet
https://github.com/2023-MindSpore-1/ms-code-18/tree/main/lresnet100e_ir
https://github.com/2023-MindSpore-1/ms-code-183
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/2023-MindSpore-1/ms-code-185
https://github.com/2023-MindSpore-1/ms-code-201
https://github.com/2023-MindSpore-1/ms-code-206
https://github.com/2023-MindSpore-1/ms-code-207
https://github.com/2023-MindSpore-1/ms-code-208
https://github.com/2023-MindSpore-1/ms-code-210/tree/main/convnext
ConvNeXt-backbone HoVerNet for nuclei segmentation and classification
https://github.com/2023-MindSpore-1/ms-code-211/tree/main/detr
https://github.com/2023-MindSpore-1/ms-code-213/tree/main/E-NET
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
https://github.com/2023-MindSpore-1/ms-code-213/tree/main/FCANet
https://github.com/2023-MindSpore-1/ms-code-213/tree/main/FCN8s
https://github.com/2023-MindSpore-1/ms-code-213/tree/main/FaceAttribute
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.