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/SeasonDepth/SeasonDepth

공식 코드

SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark under Multiple Environments

https://github.com/Semanticity-Research/SRBIM

공식 코드

Towards Automating the Retrospective Generation of BIM Models: A Unified Framework for 3D Semantic Reconstruction of the Built Environment

https://github.com/Sentient07/HeadHunter--T

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Tracking Pedestrian Heads in Dense Crowd

https://github.com/SeyedMuhammadHosseinMousavi/Victoria-Amazonica-Optimization-VAO-Algorithm

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Victoria Amazonica Optimization (VAO): An Algorithm Inspired by the Giant Water Lily Plant

https://github.com/ShaneShen/BDANet-Building-Damage-Assessment

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BDANet: Multiscale Convolutional Neural Network with Cross-directional Attention for Building Damage Assessment from Satellite Images

https://github.com/Shanks0465/Localized_SuperResolution_Foreground

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Localized Super Resolution for Foreground Images using U-Net and MR-CNN

https://github.com/Shaosifan/FIANet

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Exploring Fine-Grained Image-Text Alignment for Referring Remote Sensing Image Segmentation

https://github.com/SharifAmit/DilatedFCNSegmentation

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Efficient Yet Deep Convolutional Neural Networks for Semantic Segmentation

https://github.com/Shathe/3D-MiniNet

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3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation

https://github.com/ShenYifanS/S-RA_T-RA

공식 코드

Practical Region-level Attack against Segment Anything Models

https://github.com/ShengyuH/Scene-Recognition-in-3D

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Indoor Scene Recognition in 3D

https://github.com/ShishuaiHu/BA-Net

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Boundary-Aware Network for Kidney Parsing

https://github.com/ShishuaiHu/DCAC

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Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image Segmentation

https://github.com/ShishuaiHu/Label-Propagation

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Label Propagation for 3D Carotid Vessel Wall Segmentation and Atherosclerosis Diagnosis

https://github.com/Shorya-Sharma/Semantic-Segmentation-for-Urban-Scene-Images

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Semantic Segmentation for Urban-Scene Images

https://github.com/Shrajan/AAAI-2022

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3D-OOCS: Learning Prostate Segmentation with Inductive Bias

https://github.com/Shrajan/IB_U_Nets

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IB-U-Nets: Improving medical image segmentation tasks with 3D Inductive Biased kernels

https://github.com/ShufeiGe/Shape-Modeling-with-Spline-Partitions

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Shape Modeling with Spline Partitions

https://github.com/ShunChengWu/3DSSG

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SceneGraphFusion: Incremental 3D Scene Graph Prediction from RGB-D Sequences

https://github.com/ShunChengWu/SceneGraphFusion

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SceneGraphFusion: Incremental 3D Scene Graph Prediction from RGB-D Sequences

https://github.com/SilongYong/SQA3D

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SQA3D: Situated Question Answering in 3D Scenes

https://github.com/SimJeg/FC-DenseNet

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The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation

https://github.com/Simael/mlds-unet

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Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation

https://github.com/Sina-Baharlou/Depth-VRD

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Improving Visual Relation Detection using Depth Maps

https://github.com/Sixkplus/TapLab

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TapLab: A Fast Framework for Semantic Video Segmentation Tapping into Compressed-Domain Knowledge

https://github.com/SiyuLiu0329/python-3d-image-augmentation

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Generalisable 3D Fabric Architecture for Streamlined Universal Multi-Dataset Medical Image Segmentation

https://github.com/SiyuanQi/human-centric-scene-synthesis

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Human-centric Indoor Scene Synthesis Using Stochastic Grammar

https://github.com/Sjyhne/ContrastiveGeoSeg

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A Contrastive Learning Scheme with Transformer Innate Patches

https://github.com/Smart-Wheelchair-RRC/o3d-sim

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Open-Set 3D Semantic Instance Maps for Vision Language Navigation -- O3D-SIM

https://github.com/Soumyabrata/CloudSegNet

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CloudSegNet: A Deep Network for Nychthemeron Cloud Image Segmentation

https://github.com/Soumyabrata/multilabel-unet

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Multi-label Cloud Segmentation Using a Deep Network

https://github.com/Soumyabrata/nighttime-imaging

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Nighttime sky/cloud image segmentation

https://github.com/Spenhouet/automated-deep-photo-style-transfer

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Automated Deep Photo Style Transfer

https://github.com/StanleyZ0528/neural-image-segmentation

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NeuroQuantify -- An Image Analysis Software for Detection and Quantification of Neurons and Neurites using Deep Learning

https://github.com/Stefan-Yu404/MP-UNet

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3D Medical Image Segmentation based on multi-scale MPU-Net

https://github.com/SteffenCzolbe/probabilistic_segmentation

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Is segmentation uncertainty useful?

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