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/MindSpore-scientific/code-8/tree/main/Uncertainty_Calibration_Object_Detection
Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation
https://github.com/Minerva-jiezhao/D-MEM
https://github.com/Mingtzge/2019-CCF-BDCI-OCR-MCZJ-OCR-IdentificationIDElement
https://github.com/MioChiu/MobileNet_V2_TensorFlow
https://github.com/MoaazK/comp511-project
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/MoaazK/unet-transformer
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/ModelBunker/MORAN-PyTorch
A Multi-Object Rectified Attention Network for Scene Text Recognition
https://github.com/MohamedFarag21/DL-papers-implementation/blob/main/Computer_vision/UNET/Code/Unet_clean_version.py
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/MorenoLaQuatra/bart-it
IT5: Text-to-text Pretraining for Italian Language Understanding and Generation
https://github.com/MrD1360/Keras-implementation-of-MobileNetv3-with-L-RASSP
https://github.com/MrFeelgoood/RealEstateStocksForecasting
IT5: Text-to-text Pretraining for Italian Language Understanding and Generation
https://github.com/MrRiahi/Convolutional-Neural-Networks-Tensorflow
https://github.com/Mrnoorsingh/car-parking
https://github.com/MuchHair/PD-Net-Extended-Version
Polysemy Deciphering Network for Robust Human-Object Interaction Detection
https://github.com/MukhlasAdib/KITTI_Mapping
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
https://github.com/Muthu2093/U-Net-for-Brain-Tumor-Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/NASA-NeMO-Net/NeMO-Net
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
https://github.com/NERSC/sc21-dl-tutorial
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/NVIDIA/DeepLearningExamples/tree/ddbcd54056e8d1bc1c4d5a8ab34cb570ebea1947/PyTorch/Segmentation/nnUNet
nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation
https://github.com/NVlabs/industreallib
https://github.com/NVlabs/neuralrgbd
Neural RGB->D Sensing: Depth and Uncertainty from a Video Camera
https://github.com/Nacriema/Loss-Functions-For-Semantic-Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/Narp99/FRI_2018
STN-OCR: A single Neural Network for Text Detection and Text Recognition
https://github.com/NathanDeMaria/AugmentedCycleGAN
Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data
https://github.com/NaturalHistoryMuseum/semantic-segmentation
Rethinking Atrous Convolution for Semantic Image Segmentation
https://github.com/Neerajj9/CSRNet-keras
CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes
https://github.com/NeuroAI-HD/HD-GLIO
Automated Design of Deep Learning Methods for Biomedical Image Segmentation
https://github.com/NeuroAI-HD/HD-GLIO-AUTO
Automated Design of Deep Learning Methods for Biomedical Image Segmentation
https://github.com/NeuronDroid/GVSS-S.A.Drone
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
https://github.com/Nguyendat-bit/MobilenetV2
https://github.com/NiallEHunt/MonocularDepth-Using-LightFields
https://github.com/Nicholasli1995/EgoNet
M3D-RPN: Monocular 3D Region Proposal Network for Object Detection
https://github.com/NicoleEic/Brainhack_Oxbridge
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/NikolasEnt/soccernet-calibration-sportlight
https://github.com/NiravRaiyani/Mask-R-CNN-for-water-detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.