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Segmentation

Papers

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Showing 2551–2600 of 13072 papers

TitleStatusHype
BPKD: Boundary Privileged Knowledge Distillation For Semantic SegmentationCode1
Large-Scale Video Panoptic Segmentation in the Wild: A BenchmarkCode1
DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image SegmentationCode1
Detecting Anomalies in Semantic Segmentation with PrototypesCode1
A SAM-guided and Match-based Semi-Supervised Segmentation Framework for Medical ImagingCode1
CoactSeg: Learning from Heterogeneous Data for New Multiple Sclerosis Lesion SegmentationCode1
ASAP-Net: Attention and Structure Aware Point Cloud Sequence SegmentationCode1
Lawin Transformer: Improving Semantic Segmentation Transformer with Multi-Scale Representations via Large Window AttentionCode1
Depth-Assisted ResiDualGAN for Cross-Domain Aerial Images Semantic SegmentationCode1
Coarse-to-Fine Amodal Segmentation with Shape PriorCode1
ASC-Net : Adversarial-based Selective Network for Unsupervised Anomaly SegmentationCode1
Coarse-to-Fine Covid-19 Segmentation via Vision-Language AlignmentCode1
Learning Directional Feature Maps for Cardiac MRI SegmentationCode1
Learning Local and Global Temporal Contexts for Video Semantic SegmentationCode1
Learning Euler's Elastica Model for Medical Image SegmentationCode1
Coarse to Fine Multi-Resolution Temporal Convolutional NetworkCode1
Contextual Attention Network: Transformer Meets U-NetCode1
Learning from Unlabelled Data with Transformers: Domain Adaptation for Semantic Segmentation of High Resolution Aerial ImagesCode1
Learning Gaussian Instance Segmentation in Point CloudsCode1
Learning Implicit Feature Alignment Function for Semantic SegmentationCode1
BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised Instance SegmentationCode1
Depth-aware Object Segmentation and Grasp Detection for Robotic Picking TasksCode1
Learning Inter-Superpoint Affinity for Weakly Supervised 3D Instance SegmentationCode1
Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasetsCode1
DensePASS: Dense Panoramic Semantic Segmentation via Unsupervised Domain Adaptation with Attention-Augmented Context ExchangeCode1
Learning Non-target Knowledge for Few-shot Semantic SegmentationCode1
Learning Pairwise Inter-Plane Relations for Piecewise Planar ReconstructionCode1
PaCa-ViT: Learning Patch-to-Cluster Attention in Vision TransformersCode1
A Self-Distillation Embedded Supervised Affinity Attention Model for Few-Shot SegmentationCode1
3D-GRES: Generalized 3D Referring Expression SegmentationCode1
Code-free development and deployment of deep segmentation models for digital pathologyCode1
A self-supervised learning strategy for postoperative brain cavity segmentation simulating resectionsCode1
Aerial Imagery Pixel-level SegmentationCode1
Learning Semantics for Visual Place Recognition through Multi-Scale AttentionCode1
Learning Texture Invariant Representation for Domain Adaptation of Semantic SegmentationCode1
Learning to Address Intra-segment Misclassification in Retinal ImagingCode1
Dense Gaussian Processes for Few-Shot SegmentationCode1
Learning to Downsample for Segmentation of Ultra-High Resolution ImagesCode1
A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive PropertiesCode1
Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen CategoriesCode1
Dense Unsupervised Learning for Video SegmentationCode1
Collaborating Foundation Models for Domain Generalized Semantic SegmentationCode1
Learning to Segment Human Body Parts with Synthetically Trained Deep Convolutional NetworksCode1
Learning to Segment Rigid Motions from Two FramesCode1
AeroPath: An airway segmentation benchmark dataset with challenging pathologyCode1
Learning Universal Shape Dictionary for Realtime Instance SegmentationCode1
Learning What to Learn for Video Object SegmentationCode1
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue GraphsCode1
DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin Lesion DelineationCode1
Detection and Segmentation of Lesion Areas in Chest CT Scans For The Prediction of COVID-19Code1
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All datasetsSA-1B.MFSDMMFloodSimGas

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1unSAM+ (Semi-supervised)Average Precision42.8—Unverified
2SAMAverage Precision38.9—Unverified
#ModelMetricClaimedVerifiedStatus
1HNN10%20—Unverified
#ModelMetricClaimedVerifiedStatus
1ABANetF1 Score96.82—Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50 + DeepLabV3+F1 score0.77—Unverified
#ModelMetricClaimedVerifiedStatus
1LangGasIoU0.69—Unverified