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Semantic Segmentation

Papers

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Showing 601–625 of 14763 papers

TitleStatusHype
Multi-modality Anomaly Segmentation on the RoadCode0
Topology preserving Image segmentation using the iterative convolution-thresholding method—0
A Temporal Modeling Framework for Video Pre-Training on Video Instance Segmentation—0
Should we pre-train a decoder in contrastive learning for dense prediction tasks?—0
Center-guided Classifier for Semantic Segmentation of Remote Sensing Images—0
An Attentive Representative Sample Selection Strategy Combined with Balanced Batch Training for Skin Lesion Segmentation—0
Steady Progress Beats Stagnation: Mutual Aid of Foundation and Conventional Models in Mixed Domain Semi-Supervised Medical Image SegmentationCode1
Downstream Analysis of Foundational Medical Vision Models for Disease Progression—0
High Accuracy Pulmonary Vessel Segmentation for Contrast and Non-contrast CT Images and Clinical Evaluation—0
Does a Rising Tide Lift All Boats? Bias Mitigation for AI-based CMR SegmentationCode0
MM-UNet: Meta Mamba UNet for Medical Image Segmentation—0
Cross-Modal Interactive Perception Network with Mamba for Lung Tumor Segmentation in PET-CT ImagesCode2
SAGE: Semantic-Driven Adaptive Gaussian Splatting in Extended Reality—0
No Thing, Nothing: Highlighting Safety-Critical Classes for Robust LiDAR Semantic Segmentation in Adverse Weather—0
Closer to Ground Truth: Realistic Shape and Appearance Labeled Data Generation for Unsupervised Underwater Image Segmentation—0
Panoptic-CUDAL Technical Report: Rural Australia Point Cloud Dataset in Rainy Conditions—0
Sonata: Self-Supervised Learning of Reliable Point RepresentationsCode4
CausalCLIPSeg: Unlocking CLIP's Potential in Referring Medical Image Segmentation with Causal InterventionCode1
Attentional Triple-Encoder Network in Spatiospectral Domains for Medical Image Segmentation—0
SALT: Singular Value Adaptation with Low-Rank TransformationCode1
USAM-Net: A U-Net-based Network for Improved Stereo Correspondence and Scene Depth Estimation using Features from a Pre-trained Image Segmentation network—0
One-Shot Medical Video Object Segmentation via Temporal Contrastive Memory NetworksCode0
High Temporal Consistency through Semantic Similarity Propagation in Semi-Supervised Video Semantic Segmentation for Autonomous FlightCode1
Semi-KAN: KAN Provides an Effective Representation for Semi-Supervised Learning in Medical Image Segmentation—0
DEPT: Deep Extreme Point Tracing for Ultrasound Image Segmentation—0
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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