SOTAVerified

Semantic Segmentation

Papers

Showing 98519875 of 14763 papers

TitleStatusHype
Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations0
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency SpaceCode1
Learning a Domain-Agnostic Visual Representation for Autonomous Driving via Contrastive Loss0
AttaNet: Attention-Augmented Network for Fast and Accurate Scene ParsingCode1
Beyond Self-Supervision: A Simple Yet Effective Network Distillation Alternative to Improve BackbonesCode1
Evaluating COPY-BLEND Augmentation for Low Level Vision Tasks0
Deep Superpixel Cut for Unsupervised Image Segmentation0
Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient0
Spatially Consistent Representation LearningCode1
U-Net Transformer: Self and Cross Attention for Medical Image SegmentationCode1
Principal component-based image segmentation: a new approach to outline in vitro cell colonies0
Quality-Aware Network for Human ParsingCode1
Point-supervised Segmentation of Microscopy Images and Volumes via Objectness RegularizationCode0
Pixel-wise Anomaly Detection in Complex Driving ScenesCode1
MetaCorrection: Domain-aware Meta Loss Correction for Unsupervised Domain Adaptation in Semantic SegmentationCode1
Quadruple Augmented Pyramid Network for Multi-class COVID-19 Segmentation via CT0
ChangeSim: Towards End-to-End Online Scene Change Detection in Industrial Indoor EnvironmentsCode1
Learning Class-Agnostic Pseudo Mask Generation for Box-Supervised Semantic SegmentationCode1
Capturing Omni-Range Context for Omnidirectional SegmentationCode1
Deep Learning Based 3D Segmentation: A Survey0
Boosting Semi-supervised Image Segmentation with Global and Local Mutual Information RegularizationCode1
Differentiable Multi-Granularity Human Representation Learning for Instance-Aware Human Semantic ParsingCode1
Dual-Task Mutual Learning for Semi-Supervised Medical Image SegmentationCode1
Multi-Source Domain Adaptation with Collaborative Learning for Semantic Segmentation0
Split Computing and Early Exiting for Deep Learning Applications: Survey and Research ChallengesCode1
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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