2D Semantic Segmentation
38 papers with code • 9 benchmarks • 57 datasets
Benchmarks
These leaderboards are used to track progress in 2D Semantic Segmentation
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Datasets
Cityscapes
CamVid
KITTI-360
xBD
KITTI MOTS
SpaceNet 7
WaterScenes
DeepSport Dataset
Open Images V7
Subtasks
Most implemented papers
Segmentation-Based vs. Regression-Based Biomarker Estimation: A Case Study of Fetus Head Circumference Assessment from Ultrasound Images
jizhang02/HC-reg-seg
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Journal of Imaging 2022
Even if this type of segmentation-free approaches have been boosted with deep learning, it is not yet clear how well direct approach can compare to segmentation approaches, which are expected to be still more accurate.
Methods for the frugal labeler: Multi-class semantic segmentation on heterogeneous labels
Heterogeneous-Semantic-Segmentation/Utilities-for-The-Frugal-Labeler
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PLOS ONE 2022
This paper discusses the effects of frugal labeling and proposes to train neural networks for multi-class semantic segmentation on heterogeneously labeled data based on a novel objective function.
FLOAT: Factorized Learning of Object Attributes for Improved Multi-object Multi-part Scene Parsing
Our framework involves independent dense prediction of object category and part attributes which increases scalability and reduces task complexity compared to the monolithic label space counterpart.
Interior Attention-Aware Network for Infrared Small Target Detection
kwwcv/iaanet
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IEEE Transactions on Geoscience and Remote Sensing 2022
Motivated by the fact that pixels from targets or backgrounds are correlated to each other, we propose a coarse-to-fine interior attention-aware network (IAANet) for infrared small target detection.
Learning 3D Semantics from Pose-Noisy 2D Images with Hierarchical Full Attention Network
This motivates us to conduct a "task transfer" paradigm so that 3D semantic segmentation benefits from aggregating 2D semantic cues, albeit pose noises are contained in 2D image observations.
Neural 3D Scene Reconstruction with the Manhattan-world Assumption
zju3dv/manhattan_sdf
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CVPR 2022
Based on the Manhattan-world assumption, planar constraints are employed to regularize the geometry in floor and wall regions predicted by a 2D semantic segmentation network.
COVIR: A virtual rendering of a novel NN architecture O-Net for COVID-19 Ct-scan automatic lung lesions segmentation
40uf411/O-Net-Medical-Images-Segmentation
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Computers and Graphics 2022 2022
With the Coronavirus disease 2019 (COVID-19) spread, causing a world pandemic, and recently, the virus new variants continue to appear, making the situation more challenging and threatening, the visual assessment and quantification by expert radiologists have become costly and error-prone.
S$^2$-FPN: Scale-ware Strip Attention Guided Feature Pyramid Network for Real-time Semantic Segmentation
This paper presents a new model to achieve a trade-off between accuracy/speed for real-time road scene semantic segmentation.
CARLANE: A Lane Detection Benchmark for Unsupervised Domain Adaptation from Simulation to multiple Real-World Domains
Unsupervised Domain Adaptation demonstrates great potential to mitigate domain shifts by transferring models from labeled source domains to unlabeled target domains.
CANet: Context aware network with dual-stream pyramid for medical image segmentation
Xie-Xiwang/BSPC2022_CANet
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Biomedical Signal Processing and Control 2023
Owing to the various object types and scales, complicated backgrounds, and similar appearance between tissues in medical images, it is difficult to extract some valuable information from different medical images.
