SOTAVerified

Semantic Segmentation

Papers

Showing 34513500 of 14763 papers

TitleStatusHype
Auto Seg-Loss: Searching Metric Surrogates for Semantic SegmentationCode1
Enhancing Medical Image Segmentation with TransCeption: A Multi-Scale Feature Fusion ApproachCode1
AutoSweep: Recovering 3D Editable Objectsfrom a Single PhotographCode1
SalsaNet: Fast Road and Vehicle Segmentation in LiDAR Point Clouds for Autonomous DrivingCode1
Enhanced Boundary Learning for Glass-like Object SegmentationCode1
Mutual Consistency Learning for Semi-supervised Medical Image SegmentationCode1
EP-SAM: Weakly Supervised Histopathology Segmentation via Enhanced Prompt with Segment AnythingCode1
Enhancing MR Image Segmentation with Realistic Adversarial Data AugmentationCode1
End-to-End Video Matting With Trimap PropagationCode1
End-to-End Video Instance Segmentation with TransformersCode1
Active Learning for Improved Semi-Supervised Semantic Segmentation in Satellite ImagesCode1
Energy-based Detection of Adverse Weather Effects in LiDAR DataCode1
End-to-End Semi-Supervised Object Detection with Soft TeacherCode1
UniDA3D: Unified Domain Adaptive 3D Semantic Segmentation PipelineCode1
SAMA-UNet: Enhancing Medical Image Segmentation with Self-Adaptive Mamba-Like Attention and Causal-Resonance LearningCode1
End-to-end Trainable Deep Neural Network for Robotic Grasp Detection and Semantic Segmentation from RGBCode1
ENet: A Deep Neural Network Architecture for Real-Time Semantic SegmentationCode1
Enhancing Organ at Risk Segmentation with Improved Deep Neural NetworksCode1
SAM-I2V: Upgrading SAM to Support Promptable Video Segmentation with Less than 0.2% Training CostCode1
Deep Fusion of Local and Non-Local Features for Precision Landslide RecognitionCode1
BT-Unet: A self-supervised learning framework for biomedical image segmentation using Barlow Twins with U-Net modelsCode1
DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasetsCode1
End-to-End Egospheric Spatial MemoryCode1
SAM-OCTA: Prompting Segment-Anything for OCTA Image SegmentationCode1
End-to-End Human Instance MattingCode1
BSNet: Box-Supervised Simulation-assisted Mean Teacher for 3D Instance SegmentationCode1
Deep learning based geometric registration for medical images: How accurate can we get without visual features?Code1
Deep Gradient Learning for Efficient Camouflaged Object DetectionCode1
Bridging Composite and Real: Towards End-to-end Deep Image MattingCode1
End-to-End Referring Video Object Segmentation with Multimodal TransformersCode1
A water-obstacle separation and refinement network for unmanned surface vehiclesCode1
Encoder-Decoder with Atrous Separable Convolution for Semantic Image SegmentationCode1
Enabling Country-Scale Land Cover Mapping with Meter-Resolution Satellite ImageryCode1
SASFormer: Transformers for Sparsely Annotated Semantic SegmentationCode1
Deep Image Semantic Communication Model for Artificial Intelligent Internet of ThingsCode1
Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantificationCode1
EM-Paste: EM-guided Cut-Paste with DALL-E Augmentation for Image-level Weakly Supervised Instance SegmentationCode1
SAVi++: Towards End-to-End Object-Centric Learning from Real-World VideosCode1
Deep Instruction Tuning for Segment Anything ModelCode1
Scalable learning for bridging the species gap in image-based plant phenotypingCode1
Deep Learning based Food Instance Segmentation using Synthetic DataCode1
Empty Cities: a Dynamic-Object-Invariant Space for Visual SLAMCode1
Scale Efficient Training for Large DatasetsCode1
Deep Label Distribution Learning with Label AmbiguityCode1
EndoViT: pretraining vision transformers on a large collection of endoscopic imagesCode1
End-to-End Semi-Supervised Learning for Video Action DetectionCode1
Enhancing Pseudo Label Quality for Semi-Supervised Domain-Generalized Medical Image SegmentationCode1
Deep Learning Based Brain Tumor Segmentation: A SurveyCode1
Scan2LoD3: Reconstructing semantic 3D building models at LoD3 using ray casting and Bayesian networksCode1
Emerging Properties in Self-Supervised Vision TransformersCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-H (M3I Pre-training)Params (M)1,310Unverified
2ViT-P (InternImage-H)Validation mIoU63.6Unverified
3ONE-PEACEValidation mIoU63Unverified
4InternImage-HValidation mIoU62.9Unverified
5M3I Pre-training (InternImage-H)Validation mIoU62.9Unverified
6BEiT-3Validation mIoU62.8Unverified
7EVAValidation mIoU62.3Unverified
8ViT-P (OneFormer, InternImage-H)Validation mIoU61.6Unverified
9ViT-Adapter-L (Mask2Former, BEiTv2 pretrain)Validation mIoU61.5Unverified
10FD-SwinV2-GValidation mIoU61.4Unverified