SOTAVerified

Semantic Segmentation

Papers

Showing 19011950 of 14763 papers

TitleStatusHype
RFAConv: Innovating Spatial Attention and Standard Convolutional OperationCode1
Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic ExpertsCode1
SALUDA: Surface-based Automotive Lidar Unsupervised Domain AdaptationCode1
DiGA: Distil to Generalize and then Adapt for Domain Adaptive Semantic SegmentationCode1
ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical ContrastCode1
Towards Open-Vocabulary Video Instance SegmentationCode1
Open-Vocabulary Semantic Segmentation with Decoupled One-Pass NetworkCode1
3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point CloudsCode1
WeakTr: Exploring Plain Vision Transformer for Weakly-supervised Semantic SegmentationCode1
FinnWoodlands DatasetCode1
Small but Mighty: Enhancing 3D Point Clouds Semantic Segmentation with U-Next FrameworkCode1
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking TasksCode1
JacobiNeRF: NeRF Shaping with Mutual Information GradientsCode1
Rethinking Local Perception in Lightweight Vision TransformerCode1
Zero-shot Referring Image Segmentation with Global-Local Context FeaturesCode1
Learning with Explicit Shape Priors for Medical Image SegmentationCode1
Directional Connectivity-based Segmentation of Medical ImagesCode1
SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision TransformerCode1
C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain AdaptationCode1
Complementary Random Masking for RGB-Thermal Semantic SegmentationCode1
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ SegmentationCode1
Self-positioning Point-based Transformer for Point Cloud UnderstandingCode1
Adaptive Superpixel for Active Learning in Semantic SegmentationCode1
Multi-scale Hierarchical Vision Transformer with Cascaded Attention Decoding for Medical Image SegmentationCode1
Spatiotemporal Self-supervised Learning for Point Clouds in the WildCode1
Time Series Segmentation Applied to a New Data Set for Mobile Sensing of Human ActivitiesCode1
LinK: Linear Kernel for LiDAR-based 3D PerceptionCode1
Explicit Attention-Enhanced Fusion for RGB-Thermal Perception TasksCode1
The Devil is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask RepresentationCode1
Real-Time Semantic Segmentation using Hyperspectral Images for Mapping Unstructured and Unknown EnvironmentsCode1
Hi4D: 4D Instance Segmentation of Close Human InteractionCode1
Leveraging Hidden Positives for Unsupervised Semantic SegmentationCode1
You Only Need One Thing One Click: Self-Training for Weakly Supervised 3D Scene UnderstandingCode1
BoxVIS: Video Instance Segmentation with Box AnnotationsCode1
VisDA 2022 Challenge: Domain Adaptation for Industrial Waste SortingCode1
Hierarchical Dense Correlation Distillation for Few-Shot SegmentationCode1
MDQE: Mining Discriminative Query Embeddings to Segment Occluded Instances on Challenging VideosCode1
Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning ParadigmCode1
Reliability-Hierarchical Memory Network for Scribble-Supervised Video Object SegmentationCode1
ViPFormer: Efficient Vision-and-Pointcloud Transformer for Unsupervised Pointcloud UnderstandingCode1
IFSeg: Image-free Semantic Segmentation via Vision-Language ModelCode1
DoNet: Deep De-overlapping Network for Cytology Instance SegmentationCode1
MultiTalent: A Multi-Dataset Approach to Medical Image SegmentationCode1
Few Shot Medical Image Segmentation with Cross Attention TransformerCode1
Inherent Consistent Learning for Accurate Semi-supervised Medical Image SegmentationCode1
FishDreamer: Towards Fisheye Semantic Completion via Unified Image Outpainting and SegmentationCode1
CrOC: Cross-View Online Clustering for Dense Visual Representation LearningCode1
Top-Down Visual Attention from Analysis by SynthesisCode1
Zero-guidance Segmentation Using Zero Segment LabelsCode1
Semantic Ray: Learning a Generalizable Semantic Field with Cross-Reprojection AttentionCode1
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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