Papers with Code 아카이브

Segmentation

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

1

평가표

5

보존된 평가 기록

6

코드

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

https://github.com/NVlabs/contact_graspnet

Unknown Object Segmentation from Stereo Images

https://github.com/NVlabs/industreallib

Mask R-CNN

https://github.com/NVlabs/planercnn

PlaneRCNN: 3D Plane Detection and Reconstruction from a Single Image

https://github.com/NVlabs/ssn_superpixels

Superpixel Sampling Networks

https://github.com/NZ99/bottleneck-transformer-flax

Bottleneck Transformers for Visual Recognition

https://github.com/Nacriema/Loss-Functions-For-Semantic-Segmentation

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/NaturalHistoryMuseum/semantic-segmentation

Rethinking Atrous Convolution for Semantic Image Segmentation

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/NickLucche/pyramid-cnn-leaves-segmentation

A Pyramid CNN for Dense-Leaves Segmentation

https://github.com/NicoleEic/Brainhack_Oxbridge

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/NikV-JS/U-Det

U-Det: A Modified U-Net architecture with bidirectional feature network for lung nodule segmentation

https://github.com/Nikhil9786/Scene-Segmentation-Using-MovieScenes-Dataset

A Local-to-Global Approach to Multi-modal Movie Scene Segmentation

https://github.com/Nikolay1998/relaynet_pytorch

ReLayNet: Retinal Layer and Fluid Segmentation of Macular Optical Coherence Tomography using Fully Convolutional Network

https://github.com/Niloy-Chakraborty/Image_Segmentation_Model

Fully Convolutional Networks for Semantic Segmentation

https://github.com/NiravRaiyani/Mask-R-CNN-for-water-detection

Mask R-CNN

https://github.com/NiteshBharadwaj/adaptsegnet-materials

No More Discrimination: Cross City Adaptation of Road Scene Segmenters

https://github.com/NoamRosenberg/autodeeplab

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

https://github.com/NoelleI/Melanoma

Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)

https://github.com/NoelleI/Pigmentation

Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)

https://github.com/Nogimon/FlyNet

Segmentation of Drosophila Heart in Optical Coherence Microscopy Images Using Convolutional Neural Networks

https://github.com/Okery/PyTorch-Simple-MaskRCNN

Mask R-CNN

https://github.com/OlgaFomin/Speech-enhancement

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/OniroAI/Instance-segmentation-with-MobileNetV3

Searching for MobileNetV3

https://github.com/OpenFirework/pytorch_solov2

SOLOv2: Dynamic and Fast Instance Segmentation

https://github.com/OscarPellicer/prostate_lesion_detection

Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection

https://github.com/Oscared/thesis

Validating Hyperspectral Image Segmentation

https://github.com/Osdel/ssnets

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/OthersideAI/self-operating-computer

Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V

https://github.com/Oushesh/CapsulesforSegmentation

Capsules for Object Segmentation

https://github.com/Oushesh/SegCaps-TF_Version

Capsules for Object Segmentation

https://github.com/Owais-Ansari/Unet3plus

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/PB17151764/2020UM-Summer-Research

Deep Retinal Image Understanding

https://github.com/POSTECH-CVLab/point-transformer

Point Transformer

https://github.com/PRBonn/bonnet

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

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