Papers with Code 아카이브
2D Semantic Segmentation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 17
- 평가표
- 11
- 보존된 평가 기록
- 42
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/paraficial/vae_pancreas_segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/park-cheol/ASR-DCUnet
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/park-cheol/Speech_Enhancement-DCUnet
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/park-cheol/Speech_Enhancement-DCUnet_With_Transformer
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/pashtari/factorizer-isles22
Factorizer: A Scalable Interpretable Approach to Context Modeling for Medical Image Segmentation
https://github.com/pattyhendrix/CamVid-95-accuracy
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation
https://github.com/pavankumar186/Paper-Implementation-Correspondence-b-w-DeepNN-and-Human-representations
Adapting Deep Network Features to Capture Psychological Representations
https://github.com/peizeli96/Object-attribute-matters-in-visual-question-answering
https://github.com/pengsongyou/openscene
https://github.com/pengwangucla/DeLS-3D
DeLS-3D: Deep Localization and Segmentation with a 3D Semantic Map
https://github.com/perlfloccri/DeepFLEX
Deep Learning architectures for generalized immunofluorescence based nuclear image segmentation
https://github.com/perslev/U-Time
U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging
https://github.com/peterfws/structure-plp-slam
https://github.com/peteryuX/arcface-tf2
https://github.com/petko-nikolov/pysemseg
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/phantrdat/cvpr20-scatter-text-recognizer
Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition
https://github.com/philadias/freelabel
FreeLabel: A Publicly Available Annotation Tool based on Freehand Traces
https://github.com/philippendres/CellPilot
https://github.com/philipperemy/tensorflow-multi-dimensional-lstm
https://github.com/phtruongan/py-faster-rcnn-docker
https://github.com/phue/aradeepopsis
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
https://github.com/phykn/film-defect-detection
https://github.com/pideyi1025/DeepLabV3Plus-RailSem19
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
https://github.com/pietz/unet-keras
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/pirate0109/UNet_in_Pytorch
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/pixdeep/mhs-vm
https://github.com/pj1920/mask-r-cnn
https://github.com/plesqui/4d-cbct
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/pmcgrath249/DMMFODS
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/pmcgrath249/DeepCVLab
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/pmcgrath249/DeepCV_Lab
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/pmcgrath249/UNet
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/pmeletis/panoptic_parts
Cityscapes-Panoptic-Parts and PASCAL-Panoptic-Parts datasets for Scene Understanding
https://github.com/pnlbwh/CNN-Diffusion-MRIBrain-Segmentation
CompNet: Complementary Segmentation Network for Brain MRI Extraction
https://github.com/pokalaanirudh/Text-spotting-in-wild-using-YOLO.
STN-OCR: A single Neural Network for Text Detection and Text Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.