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Semantic Segmentation

Papers

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Showing 376–400 of 14763 papers

TitleStatusHype
Modeling the Label Distributions for Weakly-Supervised Semantic SegmentationCode2
Aerial Lifting: Neural Urban Semantic and Building Instance Lifting from Aerial ImageryCode2
BEVCar: Camera-Radar Fusion for BEV Map and Object SegmentationCode2
Dynamic Tuning Towards Parameter and Inference Efficiency for ViT AdaptationCode2
DuPL: Dual Student with Trustworthy Progressive Learning for Robust Weakly Supervised Semantic SegmentationCode2
VM-UNET-V2 Rethinking Vision Mamba UNet for Medical Image SegmentationCode2
Caltech Aerial RGB-Thermal Dataset in the WildCode2
LKM-UNet: Large Kernel Vision Mamba UNet for Medical Image SegmentationCode2
Open-World Semantic Segmentation Including Class SimilarityCode2
SemGauss-SLAM: Dense Semantic Gaussian Splatting SLAMCode2
Frequency-Adaptive Dilated Convolution for Semantic SegmentationCode2
FedFMS: Exploring Federated Foundation Models for Medical Image SegmentationCode2
Learning without Exact Guidance: Updating Large-scale High-resolution Land Cover Maps from Low-resolution Historical LabelsCode2
AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic SegmentationCode2
EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic SegmentationCode2
Rethinking Few-shot 3D Point Cloud Semantic SegmentationCode2
PEM: Prototype-based Efficient MaskFormer for Image SegmentationCode2
FusionVision: A comprehensive approach of 3D object reconstruction and segmentation from RGB-D cameras using YOLO and fast segment anythingCode2
Separate and Conquer: Decoupling Co-occurrence via Decomposition and Representation for Weakly Supervised Semantic SegmentationCode2
UN-SAM: Universal Prompt-Free Segmentation for Generalized Nuclei ImagesCode2
SPINEPS -- Automatic Whole Spine Segmentation of T2-weighted MR images using a Two-Phase Approach to Multi-class Semantic and Instance SegmentationCode2
BEFUnet: A Hybrid CNN-Transformer Architecture for Precise Medical Image SegmentationCode2
FM-Fusion: Instance-aware Semantic Mapping Boosted by Vision-Language Foundation ModelsCode2
CAT-SAM: Conditional Tuning for Few-Shot Adaptation of Segment Anything ModelCode2
nnMamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space ModelCode2
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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
4InternImage-HValidation mIoU62.9—Unverified
5M3I Pre-training (InternImage-H)Validation 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