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Semantic Segmentation

Papers

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Showing 7151–7200 of 14763 papers

TitleStatusHype
Composite Learning for Robust and Effective Dense Predictions—0
K-means for unsupervised instance segmentation using a self-supervised transformer—0
Living in a Material World: Learning Material Properties from Full-Waveform Flash Lidar Data for Semantic Segmentation—0
K-means segmentation based-on lab color space for embryo detection in incubated egg—0
Composite Binary Decomposition Networks—0
Component Segmentation of Engineering Drawings Using Graph Convolutional Networks—0
Knowledge Adaptation for Efficient Semantic Segmentation—0
Knowledge-based Fully Convolutional Network and Its Application in Segmentation of Lung CT Images—0
LIX: Implicitly Infusing Spatial Geometric Prior Knowledge into Visual Semantic Segmentation for Autonomous Driving—0
Focal Attention Networks: optimising attention for biomedical image segmentation—0
Knowledge Discovery in Optical Music Recognition: Enhancing Information Retrieval with Instance Segmentation—0
Knowledge Distillation Circumvents Nonlinearity for Optical Convolutional Neural Networks—0
Knowledge Distillation for Incremental Learning in Semantic Segmentation—0
FNOSeg3D: Resolution-Robust 3D Image Segmentation with Fourier Neural Operator—0
Complex Style Image Transformations for Domain Generalization in Medical Images—0
Deep Learning Techniques for Video Instance Segmentation: A Survey—0
Complex Relations in a Deep Structured Prediction Model for Fine Image Segmentation—0
FMAS: Fast Multi-Objective SuperNet Architecture Search for Semantic Segmentation—0
Knowledge distillation with Segment Anything (SAM) model for Planetary Geological Mapping—0
Deep Learning with Anatomical Priors: Imitating Enhanced Autoencoders in Latent Space for Improved Pelvic Bone Segmentation in MRI—0
A Weakly-Supervised Semantic Segmentation Approach based on the Centroid Loss: Application to Quality Control and Inspection—0
Live-wire 3D medical images segmentation—0
Know "No'' Better: A Data-Driven Approach for Enhancing Negation Awareness in CLIP—0
Know What Your Neighbors Do: 3D Semantic Segmentation of Point Clouds—0
Kolmogorov-Arnold Network for Remote Sensing Image Semantic Segmentation—0
Koopman-based spectral clustering of directed and time-evolving graphs—0
Deep LOGISMOS: Deep Learning Graph-based 3D Segmentation of Pancreatic Tumors on CT scans—0
Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification—0
Complex Network Construction for Interactive Image Segmentation using Particle Competition and Cooperation: A New Approach—0
Deeply Cascaded U-Net for Multi-Task Image Processing—0
Complexer-YOLO: Real-Time 3D Object Detection and Tracking on Semantic Point Clouds—0
Deeply Learning the Messages in Message Passing Inference—0
Fluorescent Neuronal Cells v2: Multi-Task, Multi-Format Annotations for Deep Learning in Microscopy—0
Kullback-Leibler Divergence-Based Fuzzy C-Means Clustering Incorporating Morphological Reconstruction and Wavelet Frames for Image Segmentation—0
FlowVOS: Weakly-Supervised Visual Warping for Detail-Preserving and Temporally Consistent Single-Shot Video Object Segmentation—0
Complete & Label: A Domain Adaptation Approach to Semantic Segmentation of LiDAR Point Clouds—0
FlowSDF: Flow Matching for Medical Image Segmentation Using Distance Transforms—0
L2T-DLN: Learning to Teach with Dynamic Loss Network—0
L^3U-net: Low-Latency Lightweight U-net Based Image Segmentation Model for Parallel CNN Processors—0
Flow-guided Semi-supervised Video Object Segmentation—0
AdvIT: Adversarial Frames Identifier Based on Temporal Consistency in Videos—0
Flow-free Video Object Segmentation—0
Flower Categorization using Deep Convolutional Neural Networks—0
FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching—0
Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation—0
A Simple Baseline with Single-encoder for Referring Image Segmentation—0
Flow Based Self-supervised Pixel Embedding for Image Segmentation—0
Label-Efficient LiDAR Panoptic Segmentation—0
Flow 2.0 -a flexible, scalable, cross-platform post-processing software for realtime phase contrast sequences—0
ACE-Net: Biomedical Image Segmentation with Augmented Contracting and Expansive Paths—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