SOTAVerified

Semantic Segmentation

Papers

Showing 73517375 of 14763 papers

TitleStatusHype
A Simple Approach for Visual Rearrangement: 3D Mapping and Semantic Search0
SCIM: Simultaneous Clustering, Inference, and Mapping for Open-World Semantic Scene UnderstandingCode0
Toward Unpaired Multi-modal Medical Image Segmentation via Learning Structured Semantic Consistency0
Using the Polar Transform for Efficient Deep Learning-Based Aorta Segmentation in CTA ImagesCode1
LargeKernel3D: Scaling up Kernels in 3D Sparse CNNsCode2
Semantics-Depth-Symbiosis: Deeply Coupled Semi-Supervised Learning of Semantics and Depth0
SemMAE: Semantic-Guided Masking for Learning Masked AutoencodersCode1
Review Neural Networks about Image Transformation Based on IGC Learning Framework with Annotated Information0
EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision ApplicationsCode2
LDD: A Dataset for Grape Diseases Object Detection and Instance Segmentation0
Broken News: Making Newspapers Accessible to Print-Impaired0
Distribution Regularized Self-Supervised Learning for Domain Adaptation of Semantic Segmentation0
Saliency Guided Inter- and Intra-Class Relation Constraints for Weakly Supervised Semantic SegmentationCode0
Semantic Labeling of High Resolution Images Using EfficientUNets and Transformers0
Occupancy-MAE: Self-supervised Pre-training Large-scale LiDAR Point Clouds with Masked Occupancy AutoencodersCode2
What Can be Seen is What You Get: Structure Aware Point Cloud Augmentation0
MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot SegmentationCode1
ORFD: A Dataset and Benchmark for Off-Road Freespace DetectionCode2
Global Context Vision TransformersCode2
Distortion-Aware Network Pruning and Feature Reuse for Real-time Video Segmentation0
5th Place Solution for YouTube-VOS Challenge 2022: Video Object Segmentation0
0/1 Deep Neural Networks via Block Coordinate Descent0
Deep Compatible Learning for Partially-Supervised Medical Image Segmentation0
3D Face Parsing via Surface Parameterization and 2D Semantic Segmentation Network0
Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image SegmentationCode1
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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
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