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Semantic Segmentation

Papers

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Showing 651–700 of 14763 papers

TitleStatusHype
Dynamic Derivation and Elimination: Audio Visual Segmentation with Enhanced Audio SemanticsCode0
AUTV: Creating Underwater Video Datasets with Pixel-wise Annotations—0
SPC-GS: Gaussian Splatting with Semantic-Prompt Consistency for Indoor Open-World Free-view Synthesis from Sparse Inputs—0
Point Cloud Based Scene Segmentation: A Survey—0
SAM2-ELNet: Label Enhancement and Automatic Annotation for Remote Sensing Segmentation—0
BFANet: Revisiting 3D Semantic Segmentation with Boundary Feature AnalysisCode1
E-SAM: Training-Free Segment Every Entity Model—0
Leveraging Motion Information for Better Self-Supervised Video Correspondence Learning—0
Minding Fuzzy Regions: A Data-driven Alternating Learning Paradigm for Stable Lesion SegmentationCode0
CyclePose -- Leveraging Cycle-Consistency for Annotation-Free Nuclei Segmentation in Fluorescence MicroscopyCode0
A Novel Decomposed Feature-Oriented Framework for Open-Set Semantic Segmentation on LiDAR DataCode1
Neurons: Emulating the Human Visual Cortex Improves Fidelity and Interpretability in fMRI-to-Video ReconstructionCode1
COIN: Confidence Score-Guided Distillation for Annotation-Free Cell SegmentationCode0
SpaceSeg: A High-Precision Intelligent Perception Segmentation Method for Multi-Spacecraft On-Orbit TargetsCode0
Multimodal-Aware Fusion Network for Referring Remote Sensing Image SegmentationCode0
RoMA: Scaling up Mamba-based Foundation Models for Remote SensingCode2
OSMa-Bench: Evaluating Open Semantic Mapping Under Varying Lighting Conditions—0
SeqSAM: Autoregressive Multiple Hypothesis Prediction for Medical Image Segmentation using SAMCode0
Knowledge Consultation for Semi-Supervised Semantic Segmentation—0
Diff-CL: A Novel Cross Pseudo-Supervision Method for Semi-supervised Medical Image Segmentation—0
Active Learning Inspired ControlNet Guidance for Augmenting Semantic Segmentation Datasets—0
CleverDistiller: Simple and Spatially Consistent Cross-modal Distillation—0
QuickDraw: Fast Visualization, Analysis and Active Learning for Medical Image SegmentationCode0
Investigation of Frame Differences as Motion Cues for Video Object Segmentation—0
GIGP: A Global Information Interacting and Geometric Priors Focusing Framework for Semi-supervised Medical Image Segmentation—0
SAS: Segment Any 3D Scene with Integrated 2D PriorsCode1
VFM-UDA++: Improving Network Architectures and Data Strategies for Unsupervised Domain Adaptive Semantic SegmentationCode1
MaskAttn-UNet: A Mask Attention-Driven Framework for Universal Low-Resolution Image Segmentation—0
3D Medical Imaging Segmentation on Non-Contrast CT—0
On the status of current quantum machine learning software—0
Can Generative Geospatial Diffusion Models Excel as Discriminative Geospatial Foundation Models?—0
QuantU-Net: Efficient Wearable Medical Imaging Using Bitwidth as a Trainable Parameter—0
Visual and Text Prompt Segmentation: A Novel Multi-Model Framework for Remote Sensing—0
Task-Specific Knowledge Distillation from the Vision Foundation Model for Enhanced Medical Image Segmentation—0
Aligning Instance-Semantic Sparse Representation towards Unsupervised Object Segmentation and Shape Abstraction with Repeatable Primitives—0
Approximate Size Targets Are Sufficient for Accurate Semantic Segmentation—0
MIRAM: Masked Image Reconstruction Across Multiple Scales for Breast Lesion Risk Prediction—0
OmniSAM: Omnidirectional Segment Anything Model for UDA in Panoramic Semantic Segmentation—0
Customized SAM 2 for Referring Remote Sensing Image Segmentation—0
Semantic Communications with Computer Vision Sensing for Edge Video Transmission—0
Semi-Supervised Medical Image Segmentation via Knowledge Mining from Large Models—0
Temporal Overlapping Prediction: A Self-supervised Pre-training Method for LiDAR Moving Object Segmentation—0
REF-VLM: Triplet-Based Referring Paradigm for Unified Visual DecodingCode1
HierDAMap: Towards Universal Domain Adaptive BEV Mapping via Hierarchical Perspective PriorsCode0
Asymmetric Decision-Making in Online Knowledge Distillation:Unifying Consensus and Divergence—0
Dynamic Dictionary Learning for Remote Sensing Image SegmentationCode1
Continuous Online Adaptation Driven by User Interaction for Medical Image Segmentation—0
MemorySAM: Memorize Modalities and Semantics with Segment Anything Model 2 for Multi-modal Semantic SegmentationCode1
DiffAtlas: GenAI-fying Atlas Segmentation via Image-Mask DiffusionCode2
CoDa-4DGS: Dynamic Gaussian Splatting with Context and Deformation Awareness for Autonomous Driving—0
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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