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Semantic Segmentation

Papers

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Showing 13401–13450 of 14763 papers

TitleStatusHype
SynNet: Structure-Preserving Fully Convolutional Networks for Medical Image Synthesis—0
Gated Feedback Refinement Network for Coarse-to-Fine Dense Semantic Image Labeling—0
Deep Learning Based Instance Segmentation in 3D Biomedical Images Using Weak Annotation—0
Hierarchical Deep Co-segmentation of Primary Objects in Aerial Videos—0
Disparity Image Segmentation For ADAS—0
3D RoI-aware U-Net for Accurate and Efficient Colorectal Tumor SegmentationCode0
Dilated Temporal Fully-Convolutional Network for Semantic Segmentation of Motion Capture Data—0
Efficient Semantic Segmentation using Gradual Grouping—0
Deep Semantic Segmentation in an AUV for Online Posidonia Oceanica Meadows identificationCode0
Keypoint Transfer for Fast Whole-Body Segmentation—0
Towards safe deep learning: accurately quantifying biomarker uncertainty in neural network predictions—0
Star Shape Prior in Fully Convolutional Networks for Skin Lesion Segmentation—0
Learning Instance Segmentation by InteractionCode0
Fully Automatic Myocardial Segmentation of Contrast Echocardiography Sequence Using Random Forests Guided by Shape Model—0
Bayesian Prediction of Future Street Scenes through Importance Sampling based Optimization—0
Kid-Net: Convolution Networks for Kidney Vessels Segmentation from CT-Volumes—0
Real-time Prediction of Segmentation Quality—0
Semantic Video Segmentation: A Review on Recent Approaches—0
ReConvNet: Video Object Segmentation with Spatio-Temporal Features Modulation—0
HGR-Net: A Fusion Network for Hand Gesture Segmentation and RecognitionCode0
EL-GAN: Embedding Loss Driven Generative Adversarial Networks for Lane Detection—0
Boosted Training of Convolutional Neural Networks for Multi-Class Segmentation—0
Imperfect Segmentation Labels: How Much Do They Matter?Code0
Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features—0
Retinal Optic Disc Segmentation using Conditional Generative Adversarial Network—0
Task Driven Generative Modeling for Unsupervised Domain Adaptation: Application to X-ray Image Segmentation—0
NeuroNet: Fast and Robust Reproduction of Multiple Brain Image Segmentation PipelinesCode0
DFNet: Semantic Segmentation on Panoramic Images with Dynamic Loss Weights and Residual Fusion Block—0
Feed-forward and noise-tolerant detection of feature homogeneity in spiking networks with a latency code—0
Instance Search via Instance Level Segmentation and Feature Representation—0
Fully Convolutional Networks with Sequential Information for Robust Crop and Weed Detection in Precision Farming—0
Joint Stem Detection and Crop-Weed Classification for Plant-specific Treatment in Precision Farming—0
Autoencoders for Multi-Label Prostate MR Segmentation—0
Robust Semantic Segmentation with Ladder-DenseNet Models—0
PatchFCN for Intracranial Hemorrhage Detection—0
Contextual Hourglass Networks for Segmentation and Density Estimation—0
DSSLIC: Deep Semantic Segmentation-based Layered Image CompressionCode0
Efficient semantic image segmentation with superpixel poolingCode0
On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image Segmentation—0
A Variational Image Segmentation Model based on Normalized Cut with Adaptive Similarity and Spatial Regularization—0
Adaptive feature recombination and recalibration for semantic segmentation: application to brain tumor segmentation in MRICode0
Fast and Accurate Online Video Object Segmentation via Tracking PartsCode0
Instance Segmentation and Tracking with Cosine Embeddings and Recurrent Hourglass Networks—0
A multi-scale pyramid of 3D fully convolutional networks for abdominal multi-organ segmentation—0
MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images—0
Performance Evaluation of Deep Learning Networks for Semantic Segmentation of Traffic Stereo-Pair Images—0
RedNet: Residual Encoder-Decoder Network for indoor RGB-D Semantic SegmentationCode0
CFCM: Segmentation via Coarse to Fine Context MemoryCode0
Computing the Spatial Probability of Inclusion inside Partial Contours for Computer Vision Applications—0
Bayesian Semantic Instance Segmentation in Open Set World—0
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All datasetsADE20KNYU-Depth V2Cityscapes testCityscapes valADE20K valPASCAL ContextS3DIS Area5PASCAL VOC 2012 testS3DISScanNetSUN-RGBDDensePASS

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-H (M3I Pre-training)Params (M)1,310—Unverified
2ViT-P (InternImage-H)Validation mIoU63.6—Unverified
3ONE-PEACEValidation mIoU63—Unverified
4M3I Pre-training (InternImage-H)Validation mIoU62.9—Unverified
5InternImage-HValidation mIoU62.9—Unverified
6BEiT-3Validation mIoU62.8—Unverified
7EVAValidation mIoU62.3—Unverified
8ViT-P (OneFormer, InternImage-H)Validation mIoU61.6—Unverified
9ViT-Adapter-L (Mask2Former, BEiTv2 pretrain)Validation mIoU61.5—Unverified
10FD-SwinV2-GValidation mIoU61.4—Unverified