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Semantic Segmentation

Papers

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Showing 4701–4750 of 14763 papers

TitleStatusHype
HierDAMap: Towards Universal Domain Adaptive BEV Mapping via Hierarchical Perspective PriorsCode0
Visual and Text Prompt Segmentation: A Novel Multi-Model Framework for Remote Sensing—0
Approximate Size Targets Are Sufficient for Accurate Semantic Segmentation—0
OmniSAM: Omnidirectional Segment Anything Model for UDA in Panoramic Semantic Segmentation—0
Semi-Supervised Medical Image Segmentation via Knowledge Mining from Large Models—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
SAQ-SAM: Semantically-Aligned Quantization for Segment Anything Model—0
Continuous Online Adaptation Driven by User Interaction for Medical Image Segmentation—0
Asymmetric Decision-Making in Online Knowledge Distillation:Unifying Consensus and Divergence—0
CoDa-4DGS: Dynamic Gaussian Splatting with Context and Deformation Awareness for Autonomous Driving—0
Steerable Pyramid Weighted Loss: Multi-Scale Adaptive Weighting for Semantic Segmentation—0
MultiCo3D: Multi-Label Voxel Contrast for One-Shot Incremental Segmentation of 3D Neuroimages—0
Segment Anything, Even Occluded—0
A Label-Free High-Precision Residual Moveout Picking Method for Travel Time Tomography based on Deep Learning—0
PointDiffuse: A Dual-Conditional Diffusion Model for Enhanced Point Cloud Semantic Segmentation—0
ACAM-KD: Adaptive and Cooperative Attention Masking for Knowledge Distillation—0
Towards Universal Text-driven CT Image SegmentationCode0
Dynamically evolving segment anything model with continuous learning for medical image segmentation—0
Disconnect to Connect: A Data Augmentation Method for Improving Topology Accuracy in Image SegmentationCode0
Joint 3D Point Cloud Segmentation using Real-Sim Loop: From Panels to Trees and Branches—0
Gaussian Random Fields as an Abstract Representation of Patient Metadata for Multimodal Medical Image SegmentationCode0
Kaiwu: A Multimodal Manipulation Dataset and Framework for Robot Learning and Human-Robot Interaction—0
TomatoScanner: phenotyping tomato fruit based on only RGB imageCode0
Conformal Prediction for Image Segmentation Using Morphological Prediction SetsCode0
Real-Time Semantic Segmentation of Aerial Images Using an Embedded U-Net: A Comparison of CPU, GPU, and FPGA Workflows—0
We Care Each Pixel: Calibrating on Medical Segmentation ModelCode0
Partially Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation—0
S4M: Segment Anything with 4 Extreme Points—0
EvidMTL: Evidential Multi-Task Learning for Uncertainty-Aware Semantic Surface Mapping from Monocular RGB Images—0
Geometry-Constrained Monocular Scale Estimation Using Semantic Segmentation for Dynamic Scenes—0
Towards Intelligent Transportation with Pedestrians and Vehicles In-the-Loop: A Surveillance Video-Assisted Federated Digital Twin Framework—0
Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation—0
Label-Efficient LiDAR Semantic Segmentation with 2D-3D Vision Transformer Adapters—0
GenColor: Generative Color-Concept Association in Visual Design—0
BEVMOSNet: Multimodal Fusion for BEV Moving Object Segmentation—0
TopoMortar: A dataset to evaluate image segmentation methods focused on topology accuracyCode0
Rethinking Few-Shot Medical Image Segmentation by SAM2: A Training-Free Framework with Augmentative Prompting and Dynamic Matching—0
Automatic Drywall Analysis for Progress Tracking and Quality Control in Construction—0
AHCPTQ: Accurate and Hardware-Compatible Post-Training Quantization for Segment Anything Model—0
COARSE: Collaborative Pseudo-Labeling with Coarse Real Labels for Off-Road Semantic Segmentation—0
Periodontal Bone Loss Analysis via Keypoint Detection With Heuristic Post-Processing—0
Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation—0
SurgiSAM2: Fine-tuning a foundational model for surgical video anatomy segmentation and detection—0
Towards Effective and Efficient Context-aware Nucleus Detection in Histopathology Whole Slide ImagesCode0
Exploring Token-Level Augmentation in Vision Transformer for Semi-Supervised Semantic SegmentationCode0
TS-CGNet: Temporal-Spatial Fusion Meets Centerline-Guided Diffusion for BEV MappingCode0
Label-Efficient LiDAR Panoptic Segmentation—0
Hyperspectral image segmentation with a machine learning model trained using quantum annealer—0
SAGE: A Framework of Precise Retrieval for RAG—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
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