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Semantic Segmentation

Papers

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Showing 12151–12200 of 14763 papers

TitleStatusHype
Split Matching for Inductive Zero-shot Semantic Segmentation—0
Split-Merge Pooling—0
Splitting vs. Merging: Mining Object Regions with Discrepancy and Intersection Loss for Weakly Supervised Semantic Segmentation—0
Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation—0
SPNet: Multi-Shell Kernel Convolution for Point Cloud Semantic Segmentation—0
Sports Field Localization via Deep Structured Models—0
Spot-Compose: A Framework for Open-Vocabulary Object Retrieval and Drawer Manipulation in Point Clouds—0
SPOT: Scalable 3D Pre-training via Occupancy Prediction for Learning Transferable 3D Representations—0
SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds—0
SpSequenceNet: Semantic Segmentation Network on 4D Point Clouds—0
SPT: Sequence Prompt Transformer for Interactive Image Segmentation—0
SpVOS: Efficient Video Object Segmentation with Triple Sparse Convolution—0
SQA-SAM: Segmentation Quality Assessment for Medical Images Utilizing the Segment Anything Model—0
SS-3DCapsNet: Self-supervised 3D Capsule Networks for Medical Segmentation on Less Labeled Data—0
SS3D: Single Shot 3D Object Detector—0
SSA-CNN: Semantic Self-Attention CNN for Pedestrian Detection—0
SSA: Semantic Structure Aware Inference for Weakly Pixel-Wise Dense Predictions without Cost—0
SPCXR: Self-supervised Pretraining using Chest X-rays Towards a Domain Specific Foundation Model—0
SSEGEP: Small SEGment Emphasized Performance evaluation metric for medical image segmentation—0
SSF-DAN: Separated Semantic Feature Based Domain Adaptation Network for Semantic Segmentation—0
SSMI: How to Make Objects of Interest Disappear without Accessing Object Detectors?—0
SSR: SAM is a Strong Regularizer for domain adaptive semantic segmentation—0
SSS3D: Fast Neural Architecture Search For Efficient Three-Dimensional Semantic Segmentation—0
SST-Calib: Simultaneous Spatial-Temporal Parameter Calibration between LIDAR and Camera—0
Stacked Deconvolutional Network for Semantic Segmentation—0
Stack-U-Net: Refinement Network for Image Segmentation on the Example of Optic Disc and Cup—0
Stage-Aware Feature Alignment Network for Real-Time Semantic Segmentation of Street Scenes—0
Stagnant zone segmentation with U-net—0
StandardGAN: Multi-source Domain Adaptation for Semantic Segmentation of Very High Resolution Satellite Images by Data Standardization—0
StandardSim: A Synthetic Dataset For Retail Environments—0
Star Shape Prior in Fully Convolutional Networks for Skin Lesion Segmentation—0
STARS: Zero-shot Sim-to-Real Transfer for Segmentation of Shipwrecks in Sonar Imagery—0
Star with Bilinear Mapping—0
Stateless actor-critic for instance segmentation with high-level priors—0
State-of-The-Art Fuzzy Active Contour Models for Image Segmentation—0
Adversarial Heart Attack: Neural Networks Fooled to Segment Heart Symbols in Chest X-Ray Images—0
Static-Dynamic Class-level Perception Consistency in Video Semantic Segmentation—0
Static Segmentation by Tracking: A Frustratingly Label-Efficient Approach to Fine-Grained Segmentation—0
STC: Spatio-Temporal Contrastive Learning for Video Instance Segmentation—0
STDC-MA Network for Semantic Segmentation—0
STEAM: Squeeze and Transform Enhanced Attention Module—0
Steerable Pyramid Weighted Loss: Multi-Scale Adaptive Weighting for Semantic Segmentation—0
Stereo 3D Object Trajectory Reconstruction—0
Stereo-based terrain traversability analysis using normal-based segmentation and superpixel surface analysis—0
Stereo obstacle detection for unmanned surface vehicles by IMU-assisted semantic segmentation—0
StereoSnakes: Contour Based Consistent Object Extraction For Stereo Images—0
ST-FL: Style Transfer Preprocessing in Federated Learning for COVID-19 Segmentation—0
STM-UNet: An Efficient U-shaped Architecture Based on Swin Transformer and Multi-scale MLP for Medical Image Segmentation—0
Stochastic Subsampling With Average Pooling—0
Stock Trend Prediction: A Semantic Segmentation Approach—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
4InternImage-HValidation mIoU62.9—Unverified
5M3I Pre-training (InternImage-H)Validation 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