SOTAVerified

Semantic Segmentation

Papers

Showing 50515075 of 14763 papers

TitleStatusHype
Asynchronous Events-based Panoptic Segmentation using Graph Mixer Neural NetworkCode0
Methods for the frugal labeler: Multi-class semantic segmentation on heterogeneous labelsCode0
Meta R-CNN: Towards General Solver for Instance-Level Low-Shot LearningCode0
Music2P: A Multi-Modal AI-Driven Tool for Simplifying Album Cover DesignCode0
Context Contrasted Feature and Gated Multi-Scale Aggregation for Scene SegmentationCode0
MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ SegmentationCode0
Meta Learning Deep Visual Words for Fast Video Object SegmentationCode0
Affordance segmentation of hand-occluded containers from exocentric imagesCode0
Meta-Learning Initializations for Image SegmentationCode0
Meta-Learners for Few-Shot Weakly-Supervised Medical Image SegmentationCode0
MetaPix: Domain Transfer for Semantic Segmentation by Meta Pixel WeightingCode0
Metrics Revolutions: Groundbreaking Insights into the Implementation of Metrics for Biomedical Image SegmentationCode0
Metadata Improves Segmentation Through Multitasking ElicitationCode0
Content Disentanglement for Semantically Consistent Synthetic-to-Real Domain AdaptationCode0
Memory-efficient Segmentation of High-resolution Volumetric MicroCT ImagesCode0
Content-Consistent Generation of Realistic Eyes with StyleCode0
Affinity Derivation and Graph Merge for Instance SegmentationCode0
Content-based Propagation of User Markings for Interactive Segmentation of Patterned ImagesCode0
Memorizing SAM: 3D Medical Segment Anything Model with Memorizing TransformerCode0
MELAGE: A purely python based Neuroimaging software (Neonatal)Code0
Memory-based Ensemble Learning in CMR Semantic SegmentationCode0
Ro-SOS: Metric Expression Network (MEnet) for Robust Salient Object SegmentationCode0
ConstScene: Dataset and Model for Advancing Robust Semantic Segmentation in Construction EnvironmentsCode0
A Survey on Deep Learning for Polyp Segmentation: Techniques, Challenges and Future TrendsCode0
Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial ApproachCode0
Show:102550
← PrevPage 203 of 591Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-H (M3I Pre-training)Params (M)1,310Unverified
2ViT-P (InternImage-H)Validation mIoU63.6Unverified
3ONE-PEACEValidation mIoU63Unverified
4M3I Pre-training (InternImage-H)Validation mIoU62.9Unverified
5InternImage-HValidation 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