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Semantic Segmentation

Papers

Showing 36513675 of 14763 papers

TitleStatusHype
DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image SegmentationCode1
DeRIS: Decoupling Perception and Cognition for Enhanced Referring Image Segmentation through Loopback SynergyCode1
MID-Fusion: Octree-based Object-Level Multi-Instance Dynamic SLAMCode1
Local Temperature Scaling for Probability CalibrationCode1
Depth Based Semantic Scene Completion with Position Importance Aware LossCode1
Depthformer : Multiscale Vision Transformer For Monocular Depth Estimation With Local Global Information FusionCode1
Deep Multi-Threshold Spiking-UNet for Image ProcessingCode1
Strong Instance Segmentation Pipeline for MMSports ChallengeCode1
DeepSportradar-v1: Computer Vision Dataset for Sports Understanding with High Quality AnnotationsCode1
Lightweight Model For The Prediction of COVID-19 Through The Detection And Segmentation of Lesions in Chest CT ScansCode1
Style Blind Domain Generalized Semantic Segmentation via Covariance Alignment and Semantic Consistence Contrastive LearningCode1
Lightweight Real-time Semantic Segmentation Network with Efficient Transformer and CNNCode1
Deep Structured Instance Graph for Distilling Object DetectorsCode1
Benchmarking Large Vision-Language Models via Directed Scene Graph for Comprehensive Image CaptioningCode1
Benchmarking Multi-modal Semantic Segmentation under Sensor Failures: Missing and Noisy Modality RobustnessCode1
LineCounter: Learning Handwritten Text Line Segmentation by CountingCode1
LineFormer: Rethinking Line Chart Data Extraction as Instance SegmentationCode1
Linguistic Structure Guided Context Modeling for Referring Image SegmentationCode1
LinK: Linear Kernel for LiDAR-based 3D PerceptionCode1
SUM: A Benchmark Dataset of Semantic Urban MeshesCode1
Benchmarking Segmentation Models with Mask-Preserved Attribute EditingCode1
Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small DatasetsCode1
Benchmarking Self-Supervised Learning on Diverse Pathology DatasetsCode1
Superpixel-based Refinement for Object Proposal GenerationCode1
Depth-aware Test-Time Training for Zero-shot Video Object 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