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Semantic Segmentation

Papers

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Showing 3351–3400 of 14763 papers

TitleStatusHype
Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain—0
On the Effect of Image Resolution on Semantic Segmentation—0
RESMatch: Referring Expression Segmentation in a Semi-Supervised Manner—0
Privacy-Preserving Synthetic Continual Semantic Segmentation for Robotic SurgeryCode0
Early Fusion of Features for Semantic Segmentation—0
Point-VOS: Pointing Up Video Object Segmentation—0
ClickSAM: Fine-tuning Segment Anything Model using click prompts for ultrasound image segmentation—0
Boundary-aware Contrastive Learning for Semi-supervised Nuclei Instance SegmentationCode1
Is Two-shot All You Need? A Label-efficient Approach for Video Segmentation in Breast Ultrasound—0
Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image SegmentationCode4
Color Recognition in Challenging Lighting Environments: CNN Approach—0
Multi-Scale Semantic Segmentation with Modified MBConv Blocks—0
FM-Fusion: Instance-aware Semantic Mapping Boosted by Vision-Language Foundation ModelsCode2
SISP: A Benchmark Dataset for Fine-grained Ship Instance Segmentation in Panchromatic Satellite ImagesCode1
Energy-based Domain-Adaptive Segmentation with Depth Guidance—0
Multi-class Road Defect Detection and Segmentation using Spatial and Channel-wise Attention for Autonomous Road Repairing—0
CAT-SAM: Conditional Tuning for Few-Shot Adaptation of Segment Anything ModelCode2
CoBra: Complementary Branch Fusing Class and Semantic Knowledge for Robust Weakly Supervised Semantic Segmentation—0
Constrained Multiview Representation for Self-supervised Contrastive Learning—0
nnMamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space ModelCode2
Applying Unsupervised Semantic Segmentation to High-Resolution UAV Imagery for Enhanced Road Scene ParsingCode0
Densely Decoded Networks with Adaptive Deep Supervision for Medical Image Segmentation—0
Swin-UMamba: Mamba-based UNet with ImageNet-based pretrainingCode3
Architecture Analysis and Benchmarking of 3D U-shaped Deep Learning Models for Thoracic Anatomical SegmentationCode0
HoughToRadon Transform: New Neural Network Layer for Features Improvement in Projection Space—0
Instance Segmentation XXL-CT Challenge of a Historic Airplane—0
RRWNet: Recursive Refinement Network for effective retinal artery/vein segmentation and classificationCode1
InstanceDiffusion: Instance-level Control for Image GenerationCode4
SGS-SLAM: Semantic Gaussian Splatting For Neural Dense SLAMCode3
SPCTNet: A Series-Parallel CNN and Transformer Network for 3D Medical Image Segmentation—0
Spatio-temporal Prompting Network for Robust Video Feature ExtractionCode1
Deep Spectral Improvement for Unsupervised Image Instance SegmentationCode0
M^3Face: A Unified Multi-Modal Multilingual Framework for Human Face Generation and Editing—0
Exploring Intrinsic Properties of Medical Images for Self-Supervised Binary Semantic Segmentation—0
Region-Based Representations RevisitedCode1
Gazebo Plants: Simulating Plant-Robot Interaction with Cosserat Rods—0
ScribFormer: Transformer Makes CNN Work Better for Scribble-based Medical Image SegmentationCode2
Revisiting Generative Adversarial Networks for Binary Semantic Segmentation on Imbalanced DatasetsCode0
Multi-Level Aggregation and Recursive Alignment Architecture for Efficient Parallel Inference Segmentation NetworkCode0
Decomposition-based and Interference Perception for Infrared and Visible Image Fusion in Complex Scenes—0
MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning—0
CoFiNet: Unveiling Camouflaged Objects with Multi-Scale Finesse—0
Evaluating the Robustness of Off-Road Autonomous Driving Segmentation against Adversarial Attacks: A Dataset-Centric analysisCode0
Motion Mapping Cognition: A Nondecomposable Primary Process in Human Vision—0
Convolution kernel adaptation to calibrated fisheyeCode0
Scale Equalization for Multi-Level Feature FusionCode0
Delving into Decision-based Black-box Attacks on Semantic Segmentation—0
VIS-MAE: An Efficient Self-supervised Learning Approach on Medical Image Segmentation and ClassificationCode0
We're Not Using Videos Effectively: An Updated Domain Adaptive Video Segmentation BaselineCode1
A Manifold Representation of the Key in Vision Transformers—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