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Semantic Segmentation

Papers

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Showing 7326–7350 of 14763 papers

TitleStatusHype
Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications—0
Mapping horizontal and vertical urban densification in Denmark with Landsat time-series from 1985 to 2018: a semantic segmentation solution—0
Comparison of Possibilistic Fuzzy Local Information C-Means and Possibilistic K-Nearest Neighbors for Synthetic Aperture Sonar Image Segmentation—0
Accurately identifying vertebral levels in large datasets—0
LDD: A Dataset for Grape Diseases Object Detection and Instance Segmentation—0
Finger Vein Recognition by Generating Code—0
LDMRes-Net: Enabling Efficient Medical Image Segmentation on IoT and Edge Platforms—0
LD-ZNet: A Latent Diffusion Approach for Text-Based Image Segmentation—0
Leader360V: The Large-scale, Real-world 360 Video Dataset for Multi-task Learning in Diverse Environment—0
Fine tuning U-Net for ultrasound image segmentation: which layers?—0
Leaf Segmentation and Counting with Deep Learning: on Model Certainty, Test-Time Augmentation, Trade-Offs—0
LeanConvNets: Low-cost Yet Effective Convolutional Neural Networks—0
LeAP: Consistent multi-domain 3D labeling using Foundation Models—0
Learnable Bernoulli Dropout for Bayesian Deep Learning—0
LSVOS Challenge 3rd Place Report: SAM2 and Cutie based VOS—0
Learnable Histogram: Statistical Context Features for Deep Neural Networks—0
Fine-tuning vision foundation model for crack segmentation in civil infrastructures—0
Comparison of lidar semantic segmentation performance on the structured SemanticKITTI and off-road RELLIS-3D datasets—0
Fine-grained Synthesis of Unrestricted Adversarial Examples—0
Fine-Grained Semantic Segmentation of Motion Capture Data using Dilated Temporal Fully-Convolutional Networks—0
Comparison of Different Methods for Tissue Segmentation in Histopathological Whole-Slide Images—0
LSVOS Challenge Report: Large-scale Complex and Long Video Object Segmentation—0
Learned Image Compression for Machine Perception—0
Fine-grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound Images—0
Fine-Grained Off-Road Semantic Segmentation and Mapping via Contrastive Learning—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
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