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Semantic Segmentation

Papers

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Showing 6526–6550 of 14763 papers

TitleStatusHype
D2-MLP: Dynamic Decomposed MLP Mixer for Medical Image Segmentation—0
Fuse & Calibrate: A bi-directional Vision-Language Guided Framework for Referring Image Segmentation—0
IMDPrompter: Adapting SAM to Image Manipulation Detection by Cross-View Automated Prompt Learning—0
Fuse4Seg: Image-Level Fusion Based Multi-Modality Medical Image Segmentation—0
IMENet: Joint 3D Semantic Scene Completion and 2D Semantic Segmentation through Iterative Mutual Enhancement—0
ConfLUNet: Multiple sclerosis lesion instance segmentation in presence of confluent lesions—0
Immature Green Apple Detection and Sizing in Commercial Orchards using YOLOv8 and Shape Fitting Techniques—0
A Characteristic Function-based Algorithm for Geodesic Active Contours—0
Learning to Track Instances without Video Annotations—0
FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images—0
A Critical Synthesis of Uncertainty Quantification and Foundation Models in Monocular Depth Estimation—0
Configurable 3D Scene Synthesis and 2D Image Rendering with Per-Pixel Ground Truth using Stochastic Grammars—0
Impact of Label Types on Training SWIN Models with Overhead Imagery—0
Impact of LiDAR visualisations on semantic segmentation of archaeological objects—0
Automated Segmentation of Retinal Layers from Optical Coherent Tomography Images Using Geodesic Distance—0
Function Norms and Regularization in Deep Networks—0
Fully Using Classifiers for Weakly Supervised Semantic Segmentation with Modified Cues—0
A Classifier-guided Approach for Top-down Salient Object Detection—0
IMP: Instance Mask Projection for High Accuracy Semantic Segmentation of Things—0
Fully Transformer Networks for Semantic Image Segmentation—0
Fully Transformer-Equipped Architecture for End-to-End Referring Video Object Segmentation—0
Confidence Intervals for Performance Estimates in Brain MRI Segmentation—0
Label-free Neural Semantic Image Synthesis—0
Implementation of improved RGBD 3D target detection model based on FPGA heterogeneous computing architecture—0
Labeling Indoor Scenes with Fusion of Out-of-the-Box Perception Models—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