Papers with Code 아카이브

2D Semantic Segmentation

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

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/nifangbaage/explict-visual-prompt

Explicit Visual Prompting for Universal Foreground Segmentations

https://github.com/nigelyaoj/self-supervised-amodal-video-object-segmentation

Self-supervised Amodal Video Object Segmentation

https://github.com/nightrome/cocostuff10k

Microsoft COCO: Common Objects in Context

https://github.com/nihalsid/mask2former

Masked-attention Mask Transformer for Universal Image Segmentation

https://github.com/nihalsid/panoptic-lifting

Panoptic Lifting for 3D Scene Understanding with Neural Fields

https://github.com/nikhilroxtomar/UNet-Segmentation-in-Keras-TensorFlow

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/nikhilroxtomar/Unet-for-Person-Segmentation

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/nikhilroxtomar/semantic-segmentation-architecture

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/nikhithakarennagari/1311

Mask R-CNN

https://github.com/nikhithakarennagari/Git

Mask R-CNN

https://github.com/nimaafshar/metadamagenet

xBD: A Dataset for Assessing Building Damage from Satellite Imagery

https://github.com/ninanikitina/BioLab

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/nisharaichur/SegNet-Encoder-Decoder-Architecture-for-Image-Segmentation

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

https://github.com/nisharaichur/segNet_tensorflow

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

https://github.com/nithi89/unet_darknet

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/nithinksath96/Face-Classification-and-Verification-Using-Convolutional-Neural-Networks

MobileNetV2: Inverted Residuals and Linear Bottlenecks

https://github.com/nithyadurai87/pottan-ocr-tamil

An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition

https://github.com/nlahlaf/Text-Style-Transfer

Style Transfer from Non-Parallel Text by Cross-Alignment

https://github.com/nnzzll/networks

V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

https://github.com/noahj08/DeepConnotation

Microsoft COCO: Common Objects in Context

https://github.com/noelcodes/Mask_RCNN

Mask R-CNN

https://github.com/nolanliou/PeopleSegmentationDemo

MobileNetV2: Inverted Residuals and Linear Bottlenecks

https://github.com/noornk/U-Net

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/nshaud/DeepNetsForEO

Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding

https://github.com/numpde/phonepad

Classifying Variable-Length Audio Files with All-Convolutional Networks and Masked Global Pooling

https://github.com/nutonomy/nuscenes-devkit

Panoptic nuScenes: A Large-Scale Benchmark for LiDAR Panoptic Segmentation and Tracking

https://github.com/nv-tlabs/GSCNN

Gated-SCNN: Gated Shape CNNs for Semantic Segmentation

https://github.com/nzantout/sort3d

IRef-VLA: A Benchmark for Interactive Referential Grounding with Imperfect Language in 3D Scenes

https://github.com/o-evgeny/MRCNN_DeepFashion2

Mask R-CNN

https://github.com/oakleighw/BRATS-Pretext-Tasks-for-Self-supervised-Deep-Learning

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/oandrienko/fast-semantic-segmentation

Pyramid Scene Parsing Network

https://github.com/od-crypto/aerial

TernausNet: U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image Segmentation

https://github.com/oikosohn/compound-loss-pytorch

Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation

https://github.com/ojas97/roteqnetp3

Rotation equivariant vector field networks

https://github.com/okn-yu/SegNet-A-Deep-Convolutional-Encoder-Decoder-Architecture-for-Image-Segmentation

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

https://github.com/oleehyo/texteller

TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.