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Semantic Segmentation

Papers

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Showing 9976–10000 of 14763 papers

TitleStatusHype
Multi-source Pseudo-label Learning of Semantic Segmentation for the Scene Recognition of Agricultural Mobile Robots—0
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-TuningCode1
Unsupervised Semantic Segmentation by Contrasting Object Mask ProposalsCode1
L-SNet: from Region Localization to Scale Invariant Medical Image Segmentation—0
Adversarial Segmentation Loss for Sketch ColorizationCode1
The Hessigheim 3D (H3D) Benchmark on Semantic Segmentation of High-Resolution 3D Point Clouds and Textured Meshes from UAV LiDAR and Multi-View-Stereo—0
Exploiting Depth Information for Wildlife MonitoringCode0
Argmax Flows and Multinomial Diffusion: Learning Categorical DistributionsCode1
D2A U-Net: Automatic Segmentation of COVID-19 Lesions from CT Slices with Dilated Convolution and Dual Attention MechanismCode1
Improving Aerial Instance Segmentation in the Dark with Self-Supervised Low Light Enhancement—0
3D Object Detection and Instance Segmentation from 3D Range and 2D Color Images—0
RANP: Resource Aware Neuron Pruning at Initialization for 3D CNNsCode0
SwiftNet: Real-time Video Object SegmentationCode1
End-to-End Deep Learning of Lane Detection and Path Prediction for Real-Time Autonomous Driving—0
(AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network—0
A Histogram Thresholding Improvement to Mask R-CNN for Scalable Segmentation of New and Old Rural Buildings—0
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentationCode1
TransUNet: Transformers Make Strong Encoders for Medical Image SegmentationCode2
Semantic Segmentation with Labeling Uncertainty and Class Imbalance—0
Weight Rescaling: Effective and Robust Regularization for Deep Neural Networks with Batch Normalization—0
A Systematic Approach for MRI Brain Tumor Localization, and Segmentation using Deep Learning and Active Contouring—0
Convolutional Neural Network Interpretability with General Pattern Theory—0
Instance and Panoptic Segmentation Using Conditional Convolutions—0
Bidirectional Multi-scale Attention Networks for Semantic Segmentation of Oblique UAV ImageryCode0
MudrockNet: Semantic Segmentation of Mudrock SEM Images through Deep LearningCode1
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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