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Semantic Segmentation

Papers

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Showing 6001–6050 of 14763 papers

TitleStatusHype
Learning to Cluster for Proposal-Free Instance SegmentationCode0
Learning to See the Invisible: End-to-End Trainable Amodal Instance SegmentationCode0
LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion ModelsCode0
End to End Trainable Active Contours via Differentiable RenderingCode0
H²O: Heatmap by Hierarchical OcclusionCode0
PFCNN: Convolutional Neural Networks on 3D Surfaces Using Parallel FramesCode0
Learning Semantics-aware Distance Map with Semantics Layering Network for Amodal Instance SegmentationCode0
Learning Semantic Segmentation with Query Points Supervision on Aerial ImagesCode0
End-to-end semantic segmentation of personalized deep brain structures for non-invasive brain stimulationCode0
A Novel Visual Representation on Text Using Diverse Conditional GAN for Visual RecognitionCode0
Learning Rich Features from RGB-D Images for Object Detection and SegmentationCode0
Learning Self-Regularized Adversarial Views for Self-Supervised Vision TransformersCode0
Learning Semi-Supervised Medical Image Segmentation from Spatial RegistrationCode0
Rethinking Barely-Supervised Volumetric Medical Image Segmentation from an Unsupervised Domain Adaptation PerspectiveCode0
Learning Pseudo Labels for Semi-and-Weakly Supervised Semantic SegmentationCode0
Learning Panoptic Segmentation from Instance ContoursCode0
Learning Regional Purity for Instance Segmentation on 3D Point CloudsCode0
CDPDNet: Integrating Text Guidance with Hybrid Vision Encoders for Medical Image SegmentationCode0
End-to-End Instance Segmentation with Recurrent AttentionCode0
A Benchmark Dataset and Evaluation Methodology for Video Object SegmentationCode0
Learning of Image Dehazing Models for Segmentation TasksCode0
Learning Shape Representation on Sparse Point Clouds for Volumetric Image SegmentationCode0
C-DLinkNet: considering multi-level semantic features for human parsingCode0
Learning Multimodal Volumetric Features for Large-Scale Neuron TracingCode0
End-to-End Change Detection for High Resolution Satellite Images Using Improved UNet++Code0
Learning Instance Segmentation by InteractionCode0
Learning Instance Occlusion for Panoptic SegmentationCode0
CCNet: Criss-Cross Attention for Semantic SegmentationCode0
Learning Non-Unique Segmentation with Reward-Penalty Dice LossCode0
Learning Shape Templates with Structured Implicit FunctionsCode0
C-CAM: Causal CAM for Weakly Supervised Semantic Segmentation on Medical ImageCode0
Learning from Spatio-temporal Correlation for Semi-Supervised LiDAR Semantic SegmentationCode0
Learning from Pattern Completion: Self-supervised Controllable GenerationCode0
Attention-Guided Lidar Segmentation and Odometry Using Image-to-Point Cloud Saliency TransferCode0
CBNet: A Novel Composite Backbone Network Architecture for Object DetectionCode0
Learning from Scale-Invariant Examples for Domain Adaptation in Semantic SegmentationCode0
ConvUNeXt: An efficient convolution neural network for medical image segmentationCode0
Harmonizing Base and Novel Classes: A Class-Contrastive Approach for Generalized Few-Shot SegmentationCode0
Learning from the Web: Language Drives Weakly-Supervised Incremental Learning for Semantic SegmentationCode0
CBinfer: Exploiting Frame-to-Frame Locality for Faster Convolutional Network Inference on Video StreamsCode0
CBAR‑UNet: A novel methodology for segmentation of cardiac magnetic resonance images using block attention‑based deep residual neural networkCode0
Empty Cities: Image Inpainting for a Dynamic-Object-Invariant SpaceCode0
A novel Region of Interest Extraction Layer for Instance SegmentationCode0
A novel open-source ultrasound dataset with deep learning benchmarks for spinal cord injury localization and anatomical segmentationCode0
Learning Free-Form Deformations for 3D Object ReconstructionCode0
Empirical Study of Multi-Task Hourglass Model for Semantic Segmentation TaskCode0
Learning Dilation Factors for Semantic Segmentation of Street ScenesCode0
Learning from imperfect training data using a robust loss function: application to brain image segmentationCode0
Learning Deconvolution Network for Semantic SegmentationCode0
Learning Deep Representations Using Convolutional Auto-encoders with Symmetric Skip ConnectionsCode0
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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