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Semantic Segmentation

Papers

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Showing 10026–10050 of 14763 papers

TitleStatusHype
Saliency Can Be All You Need In Contrastive Self-Supervised Learning—0
Saliency-Driven Active Contour Model for Image Segmentation—0
Saliency-Driven Versatile Video Coding for Neural Object Detection—0
Saliency guided deep network for weakly-supervised image segmentation—0
WoundAmbit: Bridging State-of-the-Art Semantic Segmentation and Real-World Wound Care—0
Validation of musculoskeletal segmentation model with uncertainty estimation for bone and muscle assessment in hip-to-knee clinical CT images—0
Saliency maps on image hierarchies—0
Saliency-Motion Guided Trunk-Collateral Network for Unsupervised Video Object Segmentation—0
Saliency Unified: A Deep Architecture for Simultaneous Eye Fixation Prediction and Salient Object Segmentation—0
Validation of Simulation-Based Testing: Bypassing Domain Shift with Label-to-Image Synthesis—0
Salient Instance Segmentation via Subitizing and Clustering—0
Salient Object Detection: A Discriminative Regional Feature Integration Approach—0
Salient Object Detection Combining a Self-attention Module and a Feature Pyramid Network—0
Value of Temporal Dynamics Information in Driving Scene Segmentation—0
Salient Object Detection With Pyramid Attention and Salient Edges—0
Salient Object Detection with Semantic Priors—0
Pruning random resistive memory for optimizing analogue AI—0
SA-LOAM: Semantic-aided LiDAR SLAM with Loop Closure—0
Pruning Parameterization With Bi-Level Optimization for Efficient Semantic Segmentation on the Edge—0
PRS-Med: Position Reasoning Segmentation with Vision-Language Model in Medical Imaging—0
SALT: A Semi-automatic Labeling Tool for RGB-D Video Sequences—0
Salt & Pepper Heatmaps: Diffusion-informed Landmark Detection Strategy—0
PRSeg: A Lightweight Patch Rotate MLP Decoder for Semantic Segmentation—0
PrPSeg: Universal Proposition Learning for Panoramic Renal Pathology Segmentation—0
Pro-tuning: Unified Prompt Tuning for Vision Tasks—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