Papers with Code 아카이브

Semantic Segmentation

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

29

평가표

150

보존된 평가 기록

1,918

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/Bennie-Han/Image-augementation-pytorch

CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features

https://github.com/BerenLuthien/HyperColumns_ImageColorization

Hypercolumns for Object Segmentation and Fine-grained Localization

https://github.com/BiQiWHU/All-day-CityScapes-segmentation

https://github.com/Biantian/MscProject

Mask R-CNN

https://github.com/BichenWuUCB/SqueezeSeg

SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud

https://github.com/BigThreeMI/Utils

YOLACT: Real-time Instance Segmentation

https://github.com/Bigpingping97/ICNet

ICNet for Real-Time Semantic Segmentation on High-Resolution Images

https://github.com/BinaLab/FloodNet-Challenge-EARTHVISION2021

FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding

https://github.com/BingkAI-B21CAP0161/C-Mask-Machine-Learning

Mask R-CNN

https://github.com/BioMedIA-MBZUAI/Echocardiography-Assess

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/BioWar/Satellite-Image-Segmentation-using-Deep-Learning-for-Deforestation-Detection

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/BlackAngel1111/Fast-RCNN

Mask R-CNN

https://github.com/Blaizzy/BiSeNet-Implementation

BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation

https://github.com/Boese0601/DUT_AI_2020_mmdetection

MMDetection: Open MMLab Detection Toolbox and Benchmark

https://github.com/BorealisAI/DynaShare-MTL

AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning

https://github.com/BoujlidaMohamed/Segmentation-Loss-Keras

Boundary loss for highly unbalanced segmentation

https://github.com/BraveDrXuTF/vae-gan-code-for-reinforced-panel

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

https://github.com/BrianPulfer/PapersReimplementations

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

https://github.com/BrilliantYuKaimin/XCiT-PaddlePaddle

XCiT: Cross-Covariance Image Transformers

https://github.com/BugBoy13/sd-maskrcnn

Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic Data

https://github.com/BupyeongHealer/Mask_RCNN_tf_2.x

Mask R-CNN

https://github.com/Burf/HRNetV2-OCR-Tensorflow2

High-Resolution Representations for Labeling Pixels and Regions

https://github.com/Burf/ResNeSt-Tensorflow2

ResNeSt: Split-Attention Networks

https://github.com/Burf/ResNet-Tensorflow2

Deep Residual Learning for Image Recognition

https://github.com/Burf/SwinTransformer-Tensorflow2

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

https://github.com/Burf/VisionTransformer-Tensorflow2

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

https://github.com/Burf/tfdetection

Fully Convolutional Networks for Semantic Segmentation

https://github.com/BurguerJohn/global_perceptual_similarity_loss

DINOv2: Learning Robust Visual Features without Supervision

https://github.com/BurguerJohn/torch-felix

DINOv2: Learning Robust Visual Features without Supervision

https://github.com/Burton2000/semantic_segmentation

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/BwCai/DCAA-UDA

Exploiting Diverse Characteristics and Adversarial Ambivalence for Domain Adaptive Segmentation

https://github.com/CCChen19990820/Unet_Unetplusplus_BCDUnet_FRUnet

Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions

https://github.com/CHAITron/sketchdeco-code

DreamColour: Controllable Video Colour Editing without Training

https://github.com/CLEANit/SRS2021

Unsupervised Hyperspectral Stimulated Raman Microscopy Image Enhancement: Denoising and Segmentation via One-Shot Deep Learning

https://github.com/COGMAR/RotEqNet

Rotation equivariant vector field networks

https://github.com/CPUFronz/CapsVoxGAN

3D Point Capsule Networks

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