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Semantic Segmentation

Papers

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Showing 5401–5450 of 14763 papers

TitleStatusHype
Polyp-SAM: Transfer SAM for Polyp SegmentationCode1
Sensor Equivariance by LiDAR Projection Images—0
Regularizing Self-training for Unsupervised Domain Adaptation via Structural Constraints—0
Segment Anything Model (SAM) Meets Glass: Mirror and Transparent Objects Cannot Be Easily Detected—0
Multi-to-Single Knowledge Distillation for Point Cloud Semantic SegmentationCode0
Quality-Adaptive Split-Federated Learning for Segmenting Medical Images with Inaccurate Annotations—0
SAM on Medical Images: A Comprehensive Study on Three Prompt Modes—0
SCOPE: Structural Continuity Preservation for Medical Image Segmentation—0
Pre-processing training data improves accuracy and generalisability of convolutional neural network based landscape semantic segmentation—0
SAM Meets Robotic Surgery: An Empirical Study in Robustness Perspective—0
Segment Anything Model for Medical Images?Code1
DIAMANT: Dual Image-Attention Map Encoders For Medical Image Segmentation—0
Differentiable Sensor Layouts for End-to-End Learning of Task-Specific Camera Parameters—0
Event-Free Moving Object Segmentation from Moving Ego VehicleCode1
Dual-feature Fusion Attention Network for Small Object Segmentation—0
Neural Implicit Dense Semantic SLAM—0
Zero-shot Unsupervised Transfer Instance SegmentationCode1
SkinSAM: Empowering Skin Cancer Segmentation with Segment Anything Model—0
EDAPS: Enhanced Domain-Adaptive Panoptic SegmentationCode1
A Review of Panoptic Segmentation for Mobile Mapping Point CloudsCode1
Human Semantic Segmentation using Millimeter-Wave Radar Sparse Point Clouds—0
Instance Segmentation in the DarkCode1
Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image SegmentationCode2
Cluster Entropy: Active Domain Adaptation in Pathological Image Segmentation—0
Compensation Learning in Semantic SegmentationCode0
FVP: Fourier Visual Prompting for Source-Free Unsupervised Domain Adaptation of Medical Image Segmentation—0
Customized Segment Anything Model for Medical Image SegmentationCode2
EasyPortrait -- Face Parsing and Portrait Segmentation DatasetCode2
Exploiting CNNs for Semantic Segmentation with Pascal VOC—0
GazeSAM: What You See is What You SegmentCode1
DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion modelsCode1
Mixing Data Augmentation with Preserving Foreground Regions in Medical Image Segmentation—0
Self-Supervised Temporal Analysis of Spatiotemporal Data—0
Medical SAM Adapter: Adapting Segment Anything Model for Medical Image SegmentationCode3
Segment anything, from space?—0
STM-UNet: An Efficient U-shaped Architecture Based on Swin Transformer and Multi-scale MLP for Medical Image Segmentation—0
Methods and datasets for segmentation of minimally invasive surgical instruments in endoscopic images and videos: A review of the state of the art—0
The Potential of Visual ChatGPT For Remote Sensing—0
SDSC-UNet: Dual Skip Connection ViT-based U-shaped Model for Building ExtractionCode1
Generalist Vision Foundation Models for Medical Imaging: A Case Study of Segment Anything Model on Zero-Shot Medical SegmentationCode1
Accurate and Efficient Event-based Semantic Segmentation Using Adaptive Spiking Encoder-Decoder Network—0
AutoFocusFormer: Image Segmentation off the GridCode1
Robust and Efficient Memory Network for Video Object Segmentation—0
Track Anything: Segment Anything Meets VideosCode5
MixPro: Data Augmentation with MaskMix and Progressive Attention Labeling for Vision TransformerCode1
Segment Anything in Medical ImagesCode4
Topology-Aware Focal Loss for 3D Image Segmentation—0
PARAGRAPH2GRAPH: A GNN-based framework for layout paragraph analysisCode1
Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Driving—0
Fully Sparse Fusion for 3D Object DetectionCode1
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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