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Semantic Segmentation

Papers

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Showing 9676–9700 of 14763 papers

TitleStatusHype
Real-Time, Accurate, and Consistent Video Semantic Segmentation via Unsupervised Adaptation and Cross-Unit Deployment on Mobile Device—0
ReSTR: Convolution-free Referring Image Segmentation Using Transformers—0
Restricted Deformable Convolution based Road Scene Semantic Segmentation Using Surround View Cameras—0
Real-time 3D semantic occupancy prediction for autonomous vehicles using memory-efficient sparse convolution—0
UrbanSAM: Learning Invariance-Inspired Adapters for Segment Anything Models in Urban Construction—0
Real-time 3-D Mapping with Estimating Acoustic Materials—0
Realizing Pixel-Level Semantic Learning in Complex Driving Scenes based on Only One Annotated Pixel per Class—0
Rethinking Alignment and Uniformity in Unsupervised Semantic Segmentation—0
Realistic Data Enrichment for Robust Image Segmentation in Histopathology—0
MS-NAS: Multi-Scale Neural Architecture Search for Medical Image Segmentation—0
Real2Code: Reconstruct Articulated Objects via Code Generation—0
Reachability Embeddings: Scalable Self-Supervised Representation Learning from Mobility Trajectories for Multimodal Geospatial Computer Vision—0
RDFNet: RGB-D Multi-Level Residual Feature Fusion for Indoor Semantic Segmentation—0
RCBEVDet++: Toward High-accuracy Radar-Camera Fusion 3D Perception Network—0
Rethinking Class Activation Maps for Segmentation: Revealing Semantic Information in Shallow Layers by Reducing Noise—0
Rethinking Client Reweighting for Selfish Federated Learning—0
Rethinking Convolutional Semantic Segmentation Learning—0
Rethinking Cross-modal Interaction from a Top-down Perspective for Referring Video Object Segmentation—0
RBFleX-NAS: Training-Free Neural Architecture Search Using Radial Basis Function Kernel and Hyperparameter Detection—0
RBC: Rectifying the Biased Context in Continual Semantic Segmentation—0
RayFronts: Open-Set Semantic Ray Frontiers for Online Scene Understanding and Exploration—0
RAVIR: A Dataset and Methodology for the Semantic Segmentation and Quantitative Analysis of Retinal Arteries and Veins in Infrared Reflectance Imaging—0
Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation—0
Rethinking domain generalization in medical image segmentation: One image as one domain—0
Rate-Distortion Theory in Coding for Machines and its Application—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