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/meijieru/yet_another_mobilenet_series

MobileNetV2: Inverted Residuals and Linear Bottlenecks

https://github.com/melissande/dhi-segmentation-buildings

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/mengweiren/segmentation-renormalized-harmonization

Sem-GAN: Semantically-Consistent Image-to-Image Translation

https://github.com/merlresearch/Gear-NeRF

Gear-NeRF: Free-Viewpoint Rendering and Tracking with Motion-aware Spatio-Temporal Sampling

https://github.com/mfp0610/semantic-segmentaion

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/mhmdsab/spatial-squeeze-Excitation

Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional Networks

https://github.com/miaohua1982/simple_fasterrcnn_pytorch

Mask R-CNN

https://github.com/mic-dkfz/medicaldetectiontoolkit

Mask R-CNN

https://github.com/miccai2022-155/autoseg

One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation

https://github.com/mikecheninoulu/Emotional-gesture-papers

Affect2MM: Affective Analysis of Multimedia Content Using Emotion Causality

https://github.com/milesial/Pytorch-UNet

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/mindee/doctr

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

https://github.com/mindspore-ai/models/blob/master/official/cv/deeplabv3plus

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

https://github.com/mindspore-ai/models/blob/master/official/cv/fastscnn/

Fast-SCNN: Fast Semantic Segmentation Network

https://github.com/mindspore-ai/models/blob/master/research/cv/deeplabv3plus

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

https://github.com/mindspore-ai/models/blob/master/research/cv/ibnnet

Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net

https://github.com/mindspore-ai/models/tree/master/official/cv/FCN8s

Fully Convolutional Networks for Semantic Segmentation

https://github.com/mindspore-ai/models/tree/master/official/cv/cnnctc

What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis

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/maskrcnn

Mask R-CNN

https://github.com/mindspore-ai/models/tree/master/official/cv/mobilenetv2

MobileNetV2: Inverted Residuals and Linear Bottlenecks

https://github.com/mindspore-ai/models/tree/master/official/cv/mobilenetv2_quant

MobileNetV2: Inverted Residuals and Linear Bottlenecks

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/Auto-DeepLab

Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation

https://github.com/mindspore-ai/models/tree/master/research/cv/Neighbor2Neighbor

UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation

https://github.com/mindspore-ai/models/tree/master/research/cv/PSPNet

Pyramid Scene Parsing Network

https://github.com/mindspore-ai/models/tree/master/research/cv/adelaide_ea

Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells

https://github.com/mindspore-ai/models/tree/master/research/cv/vnet

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

https://github.com/mindspore-courses/External-Attention-MindSpore/blob/main/model/attention/CrissCrossAttention.py

CCNet: Criss-Cross Attention for Semantic Segmentation

https://github.com/mindspore-courses/External-Attention-MindSpore/blob/main/model/backbone/HATNet.py

Vision Transformers with Hierarchical Attention

https://github.com/mindspore-courses/External-Attention-MindSpore/blob/main/model/backbone/MobileNetV2.py

MobileNetV2: Inverted Residuals and Linear Bottlenecks

https://github.com/mindspore-courses/External-Attention-MindSpore/blob/main/model/backbone/PatchConvnet.py

Augmenting Convolutional networks with attention-based aggregation

https://github.com/mindspore-ecosystem/mindcv/blob/main/mindcv/models/mobilenet_v2.py

MobileNetV2: Inverted Residuals and Linear Bottlenecks

https://github.com/mindspore-lab/mindocr

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

https://github.com/minerva-ml/open-solution-mapping-challenge

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/mineshmathew/pytorch_rnn_examples

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

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