SOTAVerified

Semantic Segmentation

Papers

Showing 93519375 of 14763 papers

TitleStatusHype
Multi-Level Label Correction by Distilling Proximate Patterns for Semi-supervised Semantic Segmentation0
Multi-level Activation for Segmentation of Hierarchically-nested Classes0
Multi Layer Neural Networks as Replacement for Pooling Operations0
Unlocking Past Information: Temporal Embeddings in Cooperative Bird's Eye View Prediction0
Multilayer Multiset Neuronal Networks -- MMNNs0
Where Do You Go? Pedestrian Trajectory Prediction using Scene Features0
(Un)Masked COVID-19 Trends from Social Media0
Meta-DRN: Meta-Learning for 1-Shot Image Segmentation0
Multi-Layer Feature Fusion with Cross-Channel Attention-Based U-Net for Kidney Tumor Segmentation0
UNO: Uncertainty-aware Noisy-Or Multimodal Fusion for Unanticipated Input Degradation0
Multi-layer Feature Aggregation for Deep Scene Parsing Models0
Unpaired cross-modality educed distillation (CMEDL) for medical image segmentation0
Unpaired Image-to-Image Translation with Content Preserving Perspective: A Review0
Multi-layered Image Representation for Image Interpretation0
Medical Image Segmentation with 3D Convolutional Neural Networks: A Survey0
Multi-lane Detection Using Instance Segmentation and Attentive Voting0
AdvSPADE: Realistic Unrestricted Attacks for Semantic Segmentation0
Multi-Label Prototype Visual Spatial Search for Weakly Supervised Semantic Segmentation0
UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes0
Multi-Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation0
Multi-Instance Object Segmentation With Occlusion Handling0
Unseen Object Instance Segmentation with Fully Test-time RGB-D Embeddings Adaptation0
Unseen Object Segmentation in Videos via Transferable Representations0
Multi-hypothesis contextual modeling for semantic segmentation0
Where Should I Spend My FLOPS? Efficiency Evaluations of Visual Pre-training Methods0
Show:102550
← PrevPage 375 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