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Semantic Segmentation

Papers

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Showing 7001–7050 of 14763 papers

TitleStatusHype
FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding—0
An Ensemble of 2.5D ResUnet Based Models for Segmentation for Kidney and Masses—0
Multi-task Planar Reconstruction with Feature Warping GuidanceCode0
Can SAM recognize crops? Quantifying the zero-shot performance of a semantic segmentation foundation model on generating crop-type maps using satellite imagery for precision agriculture—0
RFI Detection with Spiking Neural NetworksCode0
ZeroPS: High-quality Cross-modal Knowledge Transfer for Zero-Shot 3D Part Segmentation—0
Text and Click inputs for unambiguous open vocabulary instance segmentationCode0
IDD-AW: A Benchmark for Safe and Robust Segmentation of Drive Scenes in Unstructured Traffic and Adverse Weather—0
Understanding Self-Supervised Features for Learning Unsupervised Instance Segmentation—0
Segment (Almost) Nothing: Prompt-Agnostic Adversarial Attacks on Segmentation Models—0
Bayesian Neural Networks for 2D MRI Segmentation—0
Language-guided Few-shot Semantic Segmentation—0
The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024—0
Class Balanced Dynamic Acquisition for Domain Adaptive Semantic Segmentation using Active Learning—0
DiverseNet: Decision Diversified Semi-supervised Semantic Segmentation Networks for Remote Sensing Imagery—0
Self-guided Few-shot Semantic Segmentation for Remote Sensing Imagery Based on Large Vision Models—0
BenthIQ: a Transformer-Based Benthic Classification Model for Coral Restoration—0
Deep learning-based instance segmentation for the precise automated quantification of digital breast cancer immunohistochemistry images—0
Hybrid Whale-Mud-Ring Optimization for Precise Color Skin Cancer Image Segmentation—0
Semi-supervised Medical Image Segmentation via Query Distribution ConsistencyCode0
Instance-aware 3D Semantic Segmentation powered by Shape Generators and Classifiers—0
AI for Agriculture: the Comparison of Semantic Segmentation Methods for Crop Mapping with Sentinel-2 Imagery—0
GMISeg: General Medical Image Segmentation without Re-Training—0
Enhancing Visual Grounding and Generalization: A Multi-Task Cycle Training Approach for Vision-Language ModelsCode0
Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive LearningCode0
Disentangling Structure and Appearance in ViT Feature Space—0
GP-NeRF: Generalized Perception NeRF for Context-Aware 3D Scene Understanding—0
Few-shot Multispectral Segmentation with Representations Generated by Reinforcement LearningCode0
Predicting urban tree cover from incomplete point labels and limited background information—0
Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image Segmentation—0
SOccDPT: Semi-Supervised 3D Semantic Occupancy from Dense Prediction Transformers trained under memory constraints—0
Self-Supervised Versus Supervised Training for Segmentation of Organoid Images—0
Optimizing rgb-d semantic segmentation through multi-modal interaction and pooling attention—0
Low-Precision Floating-Point for Efficient On-Board Deep Neural Network Processing—0
On the Out of Distribution Robustness of Foundation Models in Medical Image Segmentation—0
Synthetic Data Generation for Bridging Sim2Real Gap in a Production Environment—0
UniMOS: A Universal Framework For Multi-Organ Segmentation Over Label-Constrained DatasetsCode0
MSE-Nets: Multi-annotated Semi-supervised Ensemble Networks for Improving Segmentation of Medical Image with Ambiguous Boundaries—0
Automatic measurement of coverage area of water-based pesticides-surfactant formulation on plant leaves using deep learning tools—0
Pseudo Label-Guided Data Fusion and Output Consistency for Semi-Supervised Medical Image SegmentationCode0
Zero-Shot Digital Rock Image Segmentation with a Fine-Tuned Segment Anything Model—0
A Framework of Landsat-8 Band Selection based on UMDA for Deforestation Detection—0
Labeling Indoor Scenes with Fusion of Out-of-the-Box Perception Models—0
WATUNet: A Deep Neural Network for Segmentation of Volumetric Sweep Imaging Ultrasound—0
Shifting to Machine Supervision: Annotation-Efficient Semi and Self-Supervised Learning for Automatic Medical Image Segmentation and ClassificationCode0
Enhancing the Reliability of Segment Anything Model for Auto-Prompting Medical Image Segmentation with Uncertainty Rectification—0
End-to-end autoencoding architecture for the simultaneous generation of medical images and corresponding segmentation masks—0
ToSkA: Topological Skeleton Analysis for Network-Based Shape Representation and Evaluation of Objects from Cells to Death Stars—0
Self-trained Panoptic Segmentation—0
PWISeg: Point-based Weakly-supervised Instance Segmentation for Surgical InstrumentsCode0
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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