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Semantic Segmentation

Papers

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Showing 7551–7600 of 14763 papers

TitleStatusHype
A Sentence Is Worth a Thousand Pixels—0
Finding the Most Transferable Tasks for Brain Image Segmentation—0
Learning to Align Semantic Segmentation and 2.5D Maps for Geolocalization—0
Learning to Better Segment Objects from Unseen Classes with Unlabeled Videos—0
Finding NeMo: Negative-mined Mosaic Augmentation for Referring Image Segmentation—0
Density-Based Clustering for 3D Object Detection in Point Clouds—0
Learning to Complete Object Shapes for Object-level Mapping in Dynamic Scenes—0
Learning to decompose for object detection and instance segmentation—0
Comparative Benchmarking of Failure Detection Methods in Medical Image Segmentation: Unveiling the Role of Confidence Aggregation—0
Comparative Analysis of Segment Anything Model and U-Net for Breast Tumor Detection in Ultrasound and Mammography Images—0
Learning to detect cloud and snow in remote sensing images from noisy labels—0
Learning to Detect Every Thing in an Open World—0
Adversarial Semi-Supervised Domain Adaptation for Semantic Segmentation: A New Role for Labeled Target Samples—0
Financial Table Extraction in Image Documents—0
Learning To Exploit the Sequence-Specific Prior Knowledge for Image Processing Pipelines Optimization—0
Learning to Fuse Things and Stuff—0
Comparative Analysis of Hand-Crafted and Machine-Driven Histopathological Features for Prostate Cancer Classification and Segmentation—0
Fully Automated 3D Segmentation of MR-Imaged Calf Muscle Compartments: Neighborhood Relationship Enhanced Fully Convolutional Network—0
Filter Design and Performance Evaluation for Fingerprint Image Segmentation—0
Learning to Infer Kinematic Hierarchies for Novel Object Instances—0
Comparative analysis of deep learning approaches for AgNOR-stained cytology samples interpretation—0
A semi-supervised fuzzy GrowCut algorithm to segment and classify regions of interest of mammographic images—0
Learning to Learn Unlearned Feature for Brain Tumor Segmentation—0
Learning to Look around Objects for Top-View Representations of Outdoor Scenes—0
FIF-UNet: An Efficient UNet Using Feature Interaction and Fusion for Medical Image Segmentation—0
Compact retail shelf segmentation for mobile deployment—0
FIESTA: Fourier-Based Semantic Augmentation with Uncertainty Guidance for Enhanced Domain Generalizability in Medical Image Segmentation—0
Compact & Capable: Harnessing Graph Neural Networks and Edge Convolution for Medical Image Classification—0
A Semi-Supervised Approach with Error Reflection for Echocardiography Segmentation—0
3D for Free: Crossmodal Transfer Learning using HD Maps—0
Max-Margin Boltzmann Machines for Object Segmentation—0
Learning to Prompt Segment Anything Models—0
A Semi-automatic System for Ground Truth Generation of Soccer Video Sequences—0
FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using Stochastic Inference—0
COMNet: Co-Occurrent Matching for Weakly Supervised Semantic Segmentation—0
Learning to Reconstruct and Understand Indoor Scenes from Sparse Views—0
Depth-Guided Semi-Supervised Instance Segmentation—0
FIAS: Feature Imbalance-Aware Medical Image Segmentation with Dynamic Fusion and Mixing Attention—0
Depth-guided Texture Diffusion for Image Semantic Segmentation—0
Beyond Pixel-Wise Supervision for Medical Image Segmentation: From Traditional Models to Foundation Models—0
Learning To Segment Dominant Object Motion From Watching Videos—0
Learning to Segment Dynamic Objects using SLAM Outliers—0
Depth Matters: Exploring Deep Interactions of RGB-D for Semantic Segmentation in Traffic Scenes—0
Learning to segment fetal brain tissue from noisy annotations—0
Learning to segment from misaligned and partial labels—0
FGN: Fully Guided Network for Few-Shot Instance Segmentation—0
Learning to segment from object sizes—0
FG-Depth: Flow-Guided Unsupervised Monocular Depth Estimation—0
Multiset Neurons—0
MA-Unet: An improved version of Unet based on multi-scale and attention mechanism for medical image segmentation—0
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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