SOTAVerified

Semantic Segmentation

Papers

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Showing 7776–7800 of 14763 papers

TitleStatusHype
Few-shot adaptation for morphology-independent cell instance segmentation—0
Accurate and Efficient Event-based Semantic Segmentation Using Adaptive Spiking Encoder-Decoder Network—0
MetaHistoSeg: A Python Framework for Meta Learning in Histopathology Image Segmentation—0
Linear Object Detection in Document Images using Multiple Object Tracking—0
Few-Shot 3D Volumetric Segmentation with Multi-Surrogate Fusion—0
Few-Shot 3D Point Cloud Semantic Segmentation via Stratified Class-Specific Attention Based Transformer Network—0
Diagonal Hierarchical Consistency Learning for Semi-supervised Medical Image Segmentation—0
Combining Bottom-Up, Top-Down, and Smoothness Cues for Weakly Supervised Image Segmentation—0
Adversarial Neural Networks in Medical Imaging Advancements and Challenges in Semantic Segmentation—0
LineMarkNet: Line Landmark Detection for Valet Parking—0
Line Profile Based Segmentation Algorithm for Touching Corn Kernels—0
3D Face Reconstruction Using Color Photometric Stereo with Uncalibrated Near Point Lights—0
Meta-information-aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT—0
Few-shot 3D LiDAR Semantic Segmentation for Autonomous Driving—0
Few Labeled Atlases are Necessary for Deep-Learning-Based Segmentation—0
Combiner and HyperCombiner Networks: Rules to Combine Multimodality MR Images for Prostate Cancer Localisation—0
LIP: Learning Instance Propagation for Video Object Segmentation—0
Few Exemplar-Based General Medical Image Segmentation via Domain-Aware Selective Adaptation—0
Fewer is More: Image Segmentation Based Weakly Supervised Object Detection with Partial Aggregation—0
LiSD: An Efficient Multi-Task Learning Framework for LiDAR Segmentation and Detection—0
Listening for Sirens: Locating and Classifying Acoustic Alarms in City Scenes—0
Lite-HDSeg: LiDAR Semantic Segmentation Using Lite Harmonic Dense Convolutions—0
Combined Approach for Image Segmentation—0
A Self-Supervised Method for Body Part Segmentation and Keypoint Detection of Rat Images—0
Few Clicks Suffice: Active Test-Time Adaptation for Semantic Segmentation—0
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All datasetsADE20KNYU-Depth V2Cityscapes testCityscapes valADE20K valPASCAL ContextS3DIS Area5PASCAL VOC 2012 testS3DISScanNetSUN-RGBDDensePASS

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-H (M3I Pre-training)Params (M)1,310—Unverified
2ViT-P (InternImage-H)Validation mIoU63.6—Unverified
3ONE-PEACEValidation mIoU63—Unverified
4M3I Pre-training (InternImage-H)Validation mIoU62.9—Unverified
5InternImage-HValidation mIoU62.9—Unverified
6BEiT-3Validation mIoU62.8—Unverified
7EVAValidation mIoU62.3—Unverified
8ViT-P (OneFormer, InternImage-H)Validation mIoU61.6—Unverified
9ViT-Adapter-L (Mask2Former, BEiTv2 pretrain)Validation mIoU61.5—Unverified
10FD-SwinV2-GValidation mIoU61.4—Unverified