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Semantic Segmentation

Papers

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Showing 10151–10200 of 14763 papers

TitleStatusHype
SBSS: Stacking-Based Semantic Segmentation Framework for Very High Resolution Remote Sensing Image—0
Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers—0
Variational Probabilistic Fusion Network for RGB-T Semantic Segmentation—0
Scalable and Equivariant Spherical CNNs by Discrete-Continuous (DISCO) Convolutions—0
Scalable Deep Convolutional Neural Networks for Sparse, Locally Dense Liquid Argon Time Projection Chamber Data—0
Progressive Adversarial Semantic Segmentation—0
Scalable Neural Architecture Search for 3D Medical Image Segmentation—0
Scalable, Proposal-free Instance Segmentation Network for 3D Pixel Clustering and Particle Trajectory Reconstruction in Liquid Argon Time Projection Chambers—0
Scalable Self-Supervised Representation Learning from Spatiotemporal Motion Trajectories for Multimodal Computer Vision—0
Scalable Semantic 3D Mapping of Coral Reefs with Deep Learning—0
Scalable Uncertainty for Computer Vision with Functional Variational Inference—0
Scalable Variational Inference in Log-supermodular Models—0
Scalable Video Object Segmentation with Simplified Framework—0
Variational reaction-diffusion systems for semantic segmentation—0
Process-aware and high-fidelity microstructure generation using stable diffusion—0
Moving SLAM: Fully Unsupervised Deep Learning in Non-Rigid Scenes—0
Procedural Modeling and Physically Based Rendering for Synthetic Data Generation in Automotive Applications—0
Moving Object Segmentation in Jittery Videos by Stabilizing Trajectories Modeled in Kendall's Shape Space—0
Probing neural representations of scene perception in a hippocampally dependent task using artificial neural networks—0
Scale-aware multi-level guidance for interactive instance segmentation—0
Scale-aware Super-resolution Network with Dual Affinity Learning for Lesion Segmentation from Medical Images—0
Moving Object Proposals with Deep Learned Optical Flow for Video Object Segmentation—0
MoVieS: Motion-Aware 4D Dynamic View Synthesis in One Second—0
Scale Disparity of Instances in Interactive Point Cloud Segmentation—0
Probabilistic U-Net with Kendall Shape Spaces for Geometry-Aware Segmentations of Images—0
Movable-Object-Aware Visual SLAM via Weakly Supervised Semantic Segmentation—0
Motion-state Alignment for Video Semantic Segmentation—0
Scale Equivariant Neural Networks with Morphological Scale-Spaces—0
Scale Equivariant U-Net—0
Scale-Equivariant UNet for Histopathology Image Segmentation—0
Probabilistic Semantic Segmentation Refinement by Monte Carlo Region Growing—0
Scale-free and Task-agnostic Attack: Generating Photo-realistic Adversarial Patterns with Patch Quilting Generator—0
Scale Invariant Semantic Segmentation with RGB-D Fusion—0
ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition—0
Scale-specific auxiliary multi-task contrastive learning for deep liver vessel segmentation—0
Scale-wise Bidirectional Alignment Network for Referring Remote Sensing Image Segmentation—0
Probabilistic Semantic Mapping for Urban Autonomous Driving Applications—0
Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation—0
Probabilistic Joint Image Segmentation and Labeling—0
Scaling Vision-based End-to-End Driving with Multi-View Attention Learning—0
Probabilistic Graphlet Cut: Exploiting Spatial Structure Cue for Weakly Supervised Image Segmentation—0
Probabilistic Graph Attention Network with Conditional Kernels for Pixel-Wise Prediction—0
Probabilistic Future Prediction for Video Scene Understanding—0
Scaling up Image Segmentation across Data and Tasks—0
Scaling up instance annotation via label propagation—0
Image Segmentation Using Subspace Representation and Sparse Decomposition—0
Image Segmentation using U-Net Architecture for Powder X-ray Diffraction Images—0
Image Segmentation using Unsupervised Watershed Algorithm with an Over-segmentation Reduction Technique—0
Image segmentation via Cellular Automata—0
Image Segmentation via Divisive Normalization: dealing with environmental diversity—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
4InternImage-HValidation mIoU62.9—Unverified
5M3I Pre-training (InternImage-H)Validation 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