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Semantic Segmentation

Papers

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Showing 2001–2050 of 14763 papers

TitleStatusHype
Detecting Adversarial Attacks in Semantic Segmentation via Uncertainty Estimation: A Deep Analysis—0
Flemme: A Flexible and Modular Learning Platform for Medical ImagesCode1
OVOSE: Open-Vocabulary Semantic Segmentation in Event-Based CamerasCode0
Elite360M: Efficient 360 Multi-task Learning via Bi-projection Fusion and Cross-task Collaboration—0
MedMAP: Promoting Incomplete Multi-modal Brain Tumor Segmentation with Alignment—0
GoodSAM++: Bridging Domain and Capacity Gaps via Segment Anything Model for Panoramic Semantic Segmentation—0
Cross-Species Data Integration for Enhanced Layer Segmentation in Kidney PathologyCode0
Depth-guided Texture Diffusion for Image Semantic Segmentation—0
Fire Dynamic Vision: Image Segmentation and Tracking for Multi-Scale Fire and Plume BehaviorCode0
Zero-Shot Dual-Path Integration Framework for Open-Vocabulary 3D Instance Segmentation—0
Tell Codec What Worth Compressing: Semantically Disentangled Image Coding for Machine with LMMs—0
MM-UNet: A Mixed MLP Architecture for Improved Ophthalmic Image Segmentation—0
Tuning a SAM-Based Model with Multi-Cognitive Visual Adapter to Remote Sensing Instance Segmentation—0
Retrieval-augmented Few-shot Medical Image Segmentation with Foundation Models—0
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image SegmentationCode3
5%>100%: Breaking Performance Shackles of Full Fine-Tuning on Visual Recognition TasksCode3
MambaMIM: Pre-training Mamba with State Space Token Interpolation and its Application to Medical Image SegmentationCode1
MagicFace: Training-free Universal-Style Human Image Customized Synthesis—0
Enhancing Autonomous Vehicle Perception in Adverse Weather through Image Augmentation during Semantic Segmentation TrainingCode0
Perspectives: Comparison of Deep Learning Segmentation Models on Biophysical and Biomedical DataCode0
Gradient Alignment Improves Test-Time Adaptation for Medical Image SegmentationCode1
Robust Semi-supervised Multimodal Medical Image Segmentation via Cross Modality CollaborationCode2
Segment Using Just One Example—0
Cross-aware Early Fusion with Stage-divided Vision and Language Transformer Encoders for Referring Image Segmentation—0
MetaSeg: MetaFormer-based Global Contexts-aware Network for Efficient Semantic SegmentationCode1
MedTsLLM: Leveraging LLMs for Multimodal Medical Time Series AnalysisCode2
Ensemble architecture in polyp segmentationCode0
Leveraging Perceptual Scores for Dataset Pruning in Computer Vision Tasks—0
ReCLIP++: Learn to Rectify the Bias of CLIP for Unsupervised Semantic SegmentationCode2
Prompt-Based Segmentation at Multiple Resolutions and Lighting Conditions using Segment Anything Model 2—0
S-SAM: SVD-based Fine-Tuning of Segment Anything Model for Medical Image SegmentationCode1
Wavelet based inpainting detection—0
Correlation Weighted Prototype-based Self-Supervised One-Shot Segmentation of Medical Images—0
Diffuse-UDA: Addressing Unsupervised Domain Adaptation in Medical Image Segmentation with Appearance and Structure Aligned Diffusion Models—0
HeLiMOS: A Dataset for Moving Object Segmentation in 3D Point Clouds From Heterogeneous LiDAR Sensors—0
Enhancing 3D Transformer Segmentation Model for Medical Image with Token-level Representation LearningCode0
A-BDD: Leveraging Data Augmentations for Safe Autonomous Driving in Adverse Weather and Lighting—0
Seg-CycleGAN : SAR-to-optical image translation guided by a downstream task—0
MacFormer: Semantic Segmentation with Fine Object Boundaries—0
Performance Evaluation of YOLOv8 Model Configurations, for Instance Segmentation of Strawberry Fruit Development Stages in an Open Field Environment—0
SAM-FNet: SAM-Guided Fusion Network for Laryngo-Pharyngeal Tumor DetectionCode1
Dilated Convolution with Learnable Spacings—0
Multimodal generative semantic communication based on latent diffusion model—0
vFusedSeg3D: 3rd Place Solution for 2024 Waymo Open Dataset Challenge in Semantic SegmentationCode0
Assessment of Cell Nuclei AI Foundation Models in Kidney PathologyCode0
Hyperbolic Learning with Multimodal Large Language Models—0
In Defense of Lazy Visual Grounding for Open-Vocabulary Semantic SegmentationCode2
ProxyCLIP: Proxy Attention Improves CLIP for Open-Vocabulary SegmentationCode2
GuidedNet: Semi-Supervised Multi-Organ Segmentation via Labeled Data Guide Unlabeled DataCode1
Embodied Uncertainty-Aware Object 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
4M3I Pre-training (InternImage-H)Validation mIoU62.9—Unverified
5InternImage-HValidation 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