SOTAVerified

Semantic Segmentation

Papers

Showing 49014950 of 14763 papers

TitleStatusHype
MovSAM: A Single-image Moving Object Segmentation Framework Based on Deep ThinkingCode0
CRISP: A Framework for Cryo-EM Image Segmentation and Processing with Conditional Random FieldCode0
Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired DataCode0
MOSAIC: Mobile Segmentation via decoding Aggregated Information and encoded ContextCode0
MortonNet: Self-Supervised Learning of Local Features in 3D Point CloudsCode0
Temporal Unet: Sample Level Human Action Recognition using WiFiCode0
Motion-based Object Segmentation based on Dense RGB-D Scene FlowCode0
MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature PerturbationCode0
More complex encoder is not all you needCode0
Monocular Depth Estimation Using Cues Inspired by Biological Vision SystemsCode0
Monocular Depth Estimation with Hierarchical Fusion of Dilated CNNs and Soft-Weighted-Sum InferenceCode0
MoreStyle: Relax Low-frequency Constraint of Fourier-based Image Reconstruction in Generalizable Medical Image SegmentationCode0
CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image SegmentationCode0
AGSS-VOS: Attention Guided Single-Shot Video Object SegmentationCode0
Modular Anti-noise Deep Learning Network for Robotic Grasp Detection Based on RGB ImagesCode0
COVERED, CollabOratiVE Robot Environment Dataset for 3D Semantic segmentationCode0
Addressing Model Vulnerability to Distributional Shifts over Image Transformation SetsCode0
Coupling Global Context and Local Contents for Weakly-Supervised Semantic SegmentationCode0
Modernized Training of U-Net for Aerial Semantic SegmentationCode0
Modular Sensor Fusion for Semantic SegmentationCode0
MorphMLP: An Efficient MLP-Like Backbone for Spatial-Temporal Representation LearningCode0
MultiDepth: Single-Image Depth Estimation via Multi-Task Regression and ClassificationCode0
Multi-scale Cascaded Large-Model for Whole-body ROI SegmentationCode0
Model-based inexact graph matching on top of CNNs for semantic scene understandingCode0
ModaNet: A Large-Scale Street Fashion Dataset with Polygon AnnotationsCode0
Model Doctor for Diagnosing and Treating Segmentation ErrorCode0
MoDA: Leveraging Motion Priors from Videos for Advancing Unsupervised Domain Adaptation in Semantic SegmentationCode0
Count- and Similarity-aware R-CNN for Pedestrian DetectionCode0
Model Guidance via Explanations Turns Image Classifiers into Segmentation ModelsCode0
Co-Training for Unsupervised Domain Adaptation of Semantic Segmentation ModelsCode0
AttResDU-Net: Medical Image Segmentation Using Attention-based Residual Double U-NetCode0
Cost-Effective Active Learning for Melanoma SegmentationCode0
MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image SegmentationCode0
MMGL: Multi-Scale Multi-View Global-Local Contrastive learning for Semi-supervised Cardiac Image SegmentationCode0
AttEntropy: On the Generalization Ability of Supervised Semantic Segmentation Transformers to New Objects in New DomainsCode0
MMTM: Multimodal Transfer Module for CNN FusionCode0
Attentive NormalizationCode0
Co-SemDepth: Fast Joint Semantic Segmentation and Depth Estimation on Aerial ImagesCode0
MLP-GAN for Brain Vessel Image SegmentationCode0
MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalizationCode0
MLSL: Multi-Level Self-Supervised Learning for Domain Adaptation with Spatially Independent and Semantically Consistent LabelingCode0
MMVR: Millimeter-wave Multi-View Radar Dataset and Benchmark for Indoor PerceptionCode0
A Comprehensive Overhaul of Feature DistillationCode0
Mix and match networks: encoder-decoder alignment for zero-pair image translationCode0
Attention Normalization Impacts Cardinality Generalization in Slot AttentionCode0
A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image DomainsCode0
Core-Set Selection for Data-efficient Land Cover SegmentationCode0
Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for Urban-Scene SegmentationCode0
MIScnn: A Framework for Medical Image Segmentation with Convolutional Neural Networks and Deep LearningCode0
Attention-Guided Residual U-Net with SE Connection and ASPP for Watershed-Based Cell Segmentation in Microscopy ImagesCode0
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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