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Semantic Segmentation

Papers

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Showing 8676–8700 of 14763 papers

TitleStatusHype
Nondiscriminatory Treatment: a straightforward framework for multi-human parsing—0
TokenCut: Segmenting Objects in Images and Videos with Self-supervised Transformer and Normalized Cut—0
Nondestructive, quantitative viability analysis of 3D tissue cultures using machine learning image segmentation—0
No More Sliding Window: Efficient 3D Medical Image Segmentation with Differentiable Top-k Patch Sampling—0
Semi-Supervised Semantic Image Segmentation with Self-correcting Networks—0
Medical Image Segmentation with SAM-generated Annotations—0
Weakly Supervised Semantic Segmentation Based on Web Image Co-segmentation—0
Tomato Multi-Angle Multi-Pose Dataset for Fine-Grained Phenotyping—0
Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features—0
ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images—0
Tool Wear Segmentation in Blanking Processes with Fully Convolutional Networks based Digital Image Processing—0
Tooth Instance Segmentation from Cone-Beam CT Images through Point-based Detection and Gaussian Disentanglement—0
No More Shortcuts: Realizing the Potential of Temporal Self-Supervision—0
ToothNet: Automatic Tooth Instance Segmentation and Identification From Cone Beam CT Images—0
ToothSegNet: Image Degradation meets Tooth Segmentation in CBCT Images—0
Weakly-Supervised Semantic Segmentation by Learning Label Uncertainty—0
Noisy-LSTM: Improving Temporal Awareness for Video Semantic Segmentation—0
Noisy Image Segmentation With Soft-Dice—0
Noise Injection-based Regularization for Point Cloud Processing—0
Top-K Pooling with Patch Contrastive Learning for Weakly-Supervised Semantic Segmentation—0
TopNet: Topology Preserving Metric Learning for Vessel Tree Reconstruction and Labelling—0
Topograph: An efficient Graph-Based Framework for Strictly Topology Preserving Image Segmentation—0
Topological Data Analysis Guided Segment Anything Model Prompt Optimization for Zero-Shot Segmentation in Biological Imaging—0
nnY-Net: Swin-NeXt with Cross-Attention for 3D Medical Images Segmentation—0
Topologically Faithful Multi-class Segmentation in Medical Images—0
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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
4M3I Pre-training (InternImage-H)Validation mIoU62.9—Unverified
5InternImage-HValidation 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