SOTAVerified

Semantic Segmentation

Papers

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Showing 4651–4700 of 14763 papers

TitleStatusHype
Better (pseudo-)labels for semi-supervised instance segmentation—0
Delving into Decision-based Black-box Attacks on Semantic Segmentation—0
Better Image Segmentation by Exploiting Dense Semantic Predictions—0
A Multi-Plane Block-Coordinate Frank-Wolfe Algorithm for Training Structural SVMs with a Costly max-Oracle—0
Betrayed by Motion: Camouflaged Object Discovery via Motion Segmentation—0
A Multiphase Image Segmentation Based on Fuzzy Membership Functions and L1-norm Fidelity—0
Adapting a Segmentation Foundation Model for Medical Image Classification—0
Fully Convolutional Deep Network Architectures for Automatic Short Glass Fiber Semantic Segmentation from CT scans—0
Fully Convolutional Neural Network for Semantic Segmentation of Anatomical Structure and Pathologies in Colour Fundus Images Associated with Diabetic Retinopathy—0
Function Norms and Regularization in Deep Networks—0
Fusion of Image Segmentation Algorithms using Consensus Clustering—0
Bethe Learning of Conditional Random Fields via MAP Decoding—0
Fully automated quantification of in vivo viscoelasticity of prostate zones using magnetic resonance elastography with Dense U-net segmentation—0
beta-FFT: Nonlinear Interpolation and Differentiated Training Strategies for Semi-Supervised Medical Image Segmentation—0
BE-STI: Spatial-Temporal Integrated Network for Class-Agnostic Motion Prediction With Bidirectional Enhancement—0
Degenerate Swin to Win: Plain Window-based Transformer without Sophisticated Operations—0
A multi-objective optimization approach for brain MRI segmentation using fuzzy entropy clustering and region-based active contour methods—0
Adapter Naturally Serves as Decoupler for Cross-Domain Few-Shot Semantic Segmentation—0
Deformably-Scaled Transposed Convolution—0
3D Shape Segmentation via Shape Fully Convolutional Networks—0
Fully Automated Organ Segmentation in Male Pelvic CT Images—0
BenthIQ: a Transformer-Based Benthic Classification Model for Coral Restoration—0
Deformable-Heatmap-Segmentation for Automobile Visual Perception—0
Deformable Filter Convolution for Point Cloud Reasoning—0
A Multimodal Vision Sensor for Autonomous Driving—0
Fully-Automated Packaging Structure Recognition in Logistics Environments—0
Fully Automatic Myocardial Segmentation of Contrast Echocardiography Sequence Using Random Forests Guided by Shape Model—0
Deformable Convolution Based Road Scene Semantic Segmentation of Fisheye Images in Autonomous Driving—0
Benefits of Linear Conditioning with Metadata for Image Segmentation—0
Deformable Attentive Visual Enhancement for Referring Segmentation Using Vision-Language Model—0
Benefiting from Quantum? A Comparative Study of Q-Seg, Quantum-Inspired Techniques, and U-Net for Crack Segmentation—0
3DSES: an indoor Lidar point cloud segmentation dataset with real and pseudo-labels from a 3D model—0
DefMamba: Deformable Visual State Space Model—0
Benefiting from Multitask Learning to Improve Single Image Super-Resolution—0
Defensive Perception: Estimation and Monitoring of Neural Network Performance under Deployment—0
Defending From Physically-Realizable Adversarial Attacks Through Internal Over-Activation Analysis—0
Bend-Net: Bending Loss Regularized Multitask Learning Network for Nuclei Segmentation in Histopathology Images—0
Adaptative Inference Cost With Convolutional Neural Mixture Models—0
Defending Against Universal Perturbations With Shared Adversarial Training—0
Benchmarking the Spatial Robustness of DNNs via Natural and Adversarial Localized Corruptions—0
Defect Detection in Synthetic Fibre Ropes using Detectron2 Framework—0
DEEVA: A Deep Learning and IoT Based Computer Vision System to Address Safety and Security of Production Sites in Energy Industry—0
Fully Aligned Network for Referring Image Segmentation—0
Benchmarking the Robustness of Semantic Segmentation Models—0
Deep Visual Domain Adaptation: A Survey—0
Deep Visual Domain Adaptation—0
A multilevel thresholding algorithm using Electromagnetism Optimization—0
Fully-automated Body Composition Analysis in Routine CT Imaging Using 3D Semantic Segmentation Convolutional Neural Networks—0
When Segmentation is Not Enough: Rectifying Visual-Volume Discordance Through Multisensor Depth-Refined Semantic Segmentation for Food Intake Tracking in Long-Term Care—0
Benchmarking the Robustness of Instance Segmentation Models—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