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Semantic Segmentation

Papers

Showing 50015025 of 14763 papers

TitleStatusHype
GraSS: Contrastive Learning with Gradient Guided Sampling Strategy for Remote Sensing Image Semantic SegmentationCode1
What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic SegmentationCode1
Semantic Segmentation Using Super Resolution Technique as Pre-Processing0
NCIS: Deep Color Gradient Maps Regression and Three-Class Pixel Classification for Enhanced Neuronal Cell Instance Segmentation in Nissl-Stained Histological Images0
FBA-Net: Foreground and Background Aware Contrastive Learning for Semi-Supervised Atrium SegmentationCode0
Delving into Crispness: Guided Label Refinement for Crisp Edge DetectionCode1
Hierarchical Dense Correlation Distillation for Few-Shot Segmentation-Extended Abstract0
CellViT: Vision Transformers for Precise Cell Segmentation and ClassificationCode2
Enhancing Navigation Benchmarking and Perception Data Generation for Row-based Crops in Simulation0
No-Service Rail Surface Defect Segmentation via Normalized Attention and Dual-scale InteractionCode0
PANet: LiDAR Panoptic Segmentation with Sparse Instance Proposal and AggregationCode1
TrickVOS: A Bag of Tricks for Video Object Segmentation0
MIMIC: Masked Image Modeling with Image CorrespondencesCode1
SSC-RS: Elevate LiDAR Semantic Scene Completion with Representation Separation and BEV FusionCode1
Weakly Supervised 3D Segmentation via Receptive-driven Pseudo Label Consistency and Structural Consistency0
MedLSAM: Localize and Segment Anything Model for 3D CT ImagesCode2
Mutual Query Network for Multi-Modal Product Image SegmentationCode0
A Fully Unsupervised Instance Segmentation Technique for White Blood Cell Images0
Localized Text-to-Image Generation for Free via Cross Attention Control0
AME-CAM: Attentive Multiple-Exit CAM for Weakly Supervised Segmentation on MRI Brain TumorCode1
AttResDU-Net: Medical Image Segmentation Using Attention-based Residual Double U-NetCode0
Interpretable Small Training Set Image Segmentation Network Originated from Multi-Grid Variational Model0
Faster Segment Anything: Towards Lightweight SAM for Mobile ApplicationsCode5
Introducing A Novel Method For Adaptive Thresholding In Brain Tumor Medical Image Segmentation0
On Evaluating the Adversarial Robustness of Semantic Segmentation Models0
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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