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/rhllasag/SLIMYoloV3

SlimYOLOv3: Narrower, Faster and Better for Real-Time UAV Applications

https://github.com/riadhassan/UDBA-UNet

Uncertainty Driven Bottleneck Attention U-net for Organ at Risk Segmentation

https://github.com/richardobi/medigan

CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwannoma and Cochlea Segmentation

https://github.com/richmondvan/melanoma-detection

MobileNetV2: Inverted Residuals and Linear Bottlenecks

https://github.com/rickyHong/CRNN-Tensorflow-Text-repl

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

https://github.com/rickyHong/FCN-segmentation-repl

Fully Convolutional Networks for Semantic Segmentation

https://github.com/rickyHong/PSPNet-tensorflow-repl

Semantic Understanding of Scenes through the ADE20K Dataset

https://github.com/rickyHong/UNet-segmentation-pytorch-repl

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/rickyHong/py-faster-rcnn-repl

Mask R-CNN

https://github.com/rickyHong/py-faster-rcnn-repl-cudnn5-support

Mask R-CNN

https://github.com/rishavroy1264bitmesra/Tensorflow-Boundary-Loss-for-Remote-Sensing-Imagery-Semantic-Segmentation

Boundary Loss for Remote Sensing Imagery Semantic Segmentation

https://github.com/rishidarkdevil/daam-i2i

StableSemantics: A Synthetic Language-Vision Dataset of Semantic Representations in Naturalistic Images

https://github.com/rishikksh20/ResUnet

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/rishizek/tensorflow-deeplab-v3

Rethinking Atrous Convolution for Semantic Image Segmentation

https://github.com/rishizek/tensorflow-deeplab-v3-plus

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

https://github.com/rizalmaulanaa/robustness_of_prob_u_net

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/rj-IIITH18/style_transfer_in_text

Style Transfer in Text: Exploration and Evaluation

https://github.com/rnlee1998/SRD

Digging Into Self-Supervised Monocular Depth Estimation

https://github.com/robin-chan/decision-rules

Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes

https://github.com/robin-karlsson0/dslp

Lane Graph Estimation for Scene Understanding in Urban Driving

https://github.com/robot-learning-freiburg/panopticbev

Bird's-Eye-View Panoptic Segmentation Using Monocular Frontal View Images

https://github.com/rohitgupta24/unet_from_scratch

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/rotemgoren/segNet

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

https://github.com/roytseng-tw/px2graph_lab

Pixels to Graphs by Associative Embedding

https://github.com/rpryzant/delete_retrieve_generate

Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer

https://github.com/rrkotik/dental_lucency_finder

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/rrkotik/k_salt_identification

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/rsummers11/LEAVS

AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation

https://github.com/rubics-xuan/transbts

TransBTS: Multimodal Brain Tumor Segmentation Using Transformer

https://github.com/rudolfsteiner/fast_scnn

Fast-SCNN: Fast Semantic Segmentation Network

https://github.com/ruixif/Unet_keras

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/rungjoo/Stable-Style-Transformer

Stable Style Transformer: Delete and Generate Approach with Encoder-Decoder for Text Style Transfer

https://github.com/runjia0124/coconet

Bi-level Dynamic Learning for Jointly Multi-modality Image Fusion and Beyond

https://github.com/ruotianluo/iep-ref

CLEVR-Ref+: Diagnosing Visual Reasoning with Referring Expressions

https://github.com/ryanxingql/powerqe

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/rybread1/lego-minifigure-classification

MobileNetV2: Inverted Residuals and Linear Bottlenecks

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