Papers with Code 아카이브
Scene Segmentation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
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- 보존된 평가 기록
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Scene segmentation is the task of splitting a scene into its various object components.
Image adapted from Temporally coherent 4D reconstruction of complex dynamic scenes.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/marccoru/marinedebrisdetector
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
https://github.com/mariosfourn/ScienceBowl
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/martinkersner/py_img_seg_eval
https://github.com/martinsbruveris/tensorflow-image-models
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
https://github.com/massucattoj/unet-model
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/matanrein/Understanding-Clouds-from-Satellite-Images
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/mateuszbuda/brain-segmentation-pytorch
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/mathildor/DeepLab-v3
Rethinking Atrous Convolution for Semantic Image Segmentation
https://github.com/mattangus/fast-semantic-segmentation
https://github.com/mberkay0/pretrained-backbones-unet
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/mdt48/semantic-segmentation-pytorch
https://github.com/megvii-research/basecls/tree/main/zoo/public/hrnet
Deep High-Resolution Representation Learning for Visual Recognition
https://github.com/megvii-research/basecls/tree/main/zoo/public/swin
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
https://github.com/melissande/dhi-segmentation-buildings
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/mengxingshifen1218/pointnet.pytorch
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/merazlab/3D_Deep_Learning_Link
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/mfp0610/semantic-segmentaion
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/milesial/Pytorch-UNet
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/mindee/doctr
LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation
https://github.com/mindspore-ai/models/blob/master/official/cv/fastscnn/
https://github.com/mindspore-ai/models/tree/master/official/cv/FCN8s
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/unet
U-Net: Convolutional Networks for Biomedical Image Segmentation
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-courses/External-Attention-MindSpore/blob/main/model/attention/CrissCrossAttention.py
https://github.com/mindspore-courses/External-Attention-MindSpore/blob/main/model/attention/DANet.py
https://github.com/mindspore-courses/External-Attention-MindSpore/blob/main/model/backbone/swin_transformer.py
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
https://github.com/mindspore-ecosystem/mindcv/blob/main/mindcv/models/swin_transformer.py
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
https://github.com/mindspore-lab/mindone
Deep High-Resolution Representation Learning for Visual Recognition
https://github.com/minerva-ml/open-solution-mapping-challenge
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/minhncedutw/pointnet1_keras
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/minoring/fcn
https://github.com/minus31/Portrait-segmentation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.