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Semantic Segmentation

Papers

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Showing 8326–8350 of 14763 papers

TitleStatusHype
Weakly Supervised Change Detection Using Guided Anisotropic Difusion—0
You Only Estimate Once: Unified, One-stage, Real-Time Category-level Articulated Object 6D Pose Estimation for Robotic Grasping—0
UDA4Inst: Unsupervised Domain Adaptation for Instance Segmentation—0
SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency—0
Systematic Clinical Evaluation of A Deep Learning Method for Medical Image Segmentation: Radiosurgery Application—0
Systematic review of image segmentation using complex networks—0
T3D: Advancing 3D Medical Vision-Language Pre-training by Learning Multi-View Visual Consistency—0
Weakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Grouping—0
Tabletop Transparent Scene Reconstruction via Epipolar-Guided Optical Flow with Monocular Depth Completion Prior—0
Mirror U-Net: Marrying Multimodal Fission with Multi-task Learning for Semantic Segmentation in Medical Imaging—0
On Efficient Variants of Segment Anything Model: A Survey—0
On Efficient Real-Time Semantic Segmentation: A Survey—0
MirrorNet: Bio-Inspired Camouflaged Object Segmentation—0
MIRAM: Masked Image Reconstruction Across Multiple Scales for Breast Lesion Risk Prediction—0
One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression—0
TACTIC: Joint Rate-Distortion-Accuracy Optimisation for Low Bitrate Compression—0
One Class One Click: Quasi Scene-level Weakly Supervised Point Cloud Semantic Segmentation with Active Learning—0
On Duality Of Multiple Target Tracking and Segmentation—0
Tag-Based Attention Guided Bottom-Up Approach for Video Instance Segmentation—0
On Domain-Specific Pre-Training for Effective Semantic Perception in Agricultural Robotics—0
On distances, paths and connections for hyperspectral image segmentation—0
On-Device Unsupervised Image Segmentation—0
On Deep Learning Techniques to Boost Monocular Depth Estimation for Autonomous Navigation—0
TAGS: 3D Tumor-Adaptive Guidance for SAM—0
Weakly-Supervised Dual Clustering for Image Semantic Segmentation—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