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Semantic Segmentation

Papers

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Showing 451–500 of 14763 papers

TitleStatusHype
Offline Reinforcement Learning using Human-Aligned Reward Labeling for Autonomous Emergency Braking in Occluded Pedestrian Crossing—0
SynthFM: Training Modality-agnostic Foundation Models for Medical Image Segmentation without Real Medical Data—0
Multi-person Physics-based Pose Estimation for Combat Sports—0
ZS-VCOS: Zero-Shot Outperforms Supervised Video Camouflaged Object SegmentationCode0
Conditional Conformal Risk Adaptation—0
Distilling Knowledge from Heterogeneous Architectures for Semantic Segmentation—0
Nonlocal Retinex-Based Variational Model and its Deep Unfolding Twin for Low-Light Image Enhancement—0
GLUS: Global-Local Reasoning Unified into A Single Large Language Model for Video SegmentationCode2
SydneyScapes: Image Segmentation for Australian Environments—0
RadZero: Similarity-Based Cross-Attention for Explainable Vision-Language Alignment in Radiology with Zero-Shot Multi-Task Capability—0
PRAD: Periapical Radiograph Analysis Dataset and Benchmark Model Development—0
P2Object: Single Point Supervised Object Detection and Instance SegmentationCode2
MovSAM: A Single-image Moving Object Segmentation Framework Based on Deep ThinkingCode0
Wheat3DGS: In-field 3D Reconstruction, Instance Segmentation and Phenotyping of Wheat Heads with Gaussian SplattingCode1
Zeus: Zero-shot LLM Instruction for Union Segmentation in Multimodal Medical Imaging—0
RayFronts: Open-Set Semantic Ray Frontiers for Online Scene Understanding and Exploration—0
Domain Generalization through Attenuation of Domain-Specific InformationCode0
WoundAmbit: Bridging State-of-the-Art Semantic Segmentation and Real-World Wound Care—0
Saliency-Motion Guided Trunk-Collateral Network for Unsupervised Video Object Segmentation—0
Towards Varroa destructor mite detection using a narrow spectra illumination—0
Earth-Adapter: Bridge the Geospatial Domain Gaps with Mixture of Frequency AdaptationCode2
econSG: Efficient and Multi-view Consistent Open-Vocabulary 3D Semantic Gaussians—0
CTI-Unet: Cascaded Threshold Integration for Improved U-Net Segmentation of Pathology Images—0
HRMedSeg: Unlocking High-resolution Medical Image segmentation via Memory-efficient Attention ModelingCode1
Rethinking the Nested U-Net Approach: Enhancing Biomarker Segmentation with Attention Mechanisms and Multiscale Feature FusionCode0
MSA-UNet3+: Multi-Scale Attention UNet3+ with New Supervised Prototypical Contrastive Loss for Coronary DSA Image SegmentationCode0
SlicerNNInteractive: A 3D Slicer extension for nnInteractiveCode2
S^4M: Boosting Semi-Supervised Instance Segmentation with SAM—0
The 1st Solution for 4th PVUW MeViS Challenge: Unleashing the Potential of Large Multimodal Models for Referring Video SegmentationCode5
Explaining Uncertainty in Multiple Sclerosis Lesion Segmentation Beyond Prediction Errors—0
Balancing Robustness and Efficiency in Embedded DNNs Through Activation Function Selection—0
BoxSeg: Quality-Aware and Peer-Assisted Learning for Box-supervised Instance SegmentationCode0
Caption Anything in Video: Fine-grained Object-centric Captioning via Spatiotemporal Multimodal PromptingCode2
DFormerv2: Geometry Self-Attention for RGBD Semantic SegmentationCode3
Here Comes the Explanation: A Shapley Perspective on Multi-contrast Medical Image Segmentation—0
UCS: A Universal Model for Curvilinear Structure Segmentation—0
Performance Analysis of Deep Learning Models for Femur Segmentation in MRI Scan—0
View2CAD: Reconstructing View-Centric CAD Models from Single RGB-D Scans—0
Mamba as a Bridge: Where Vision Foundation Models Meet Vision Language Models for Domain-Generalized Semantic SegmentationCode2
Multi-encoder nnU-Net outperforms Transformer models with self-supervised pretraining—0
Multi-Granularity Vision Fastformer with Fusion Mechanism for Skin Lesion Segmentation—0
GraphSeg: Segmented 3D Representations via Graph Edge Addition and ContractionCode0
Evaluating and Enhancing Segmentation Model Robustness with Metamorphic Testing—0
Adaptive Frequency Enhancement Network for Remote Sensing Image Semantic SegmentationCode1
Taylor Series-Inspired Local Structure Fitting Network for Few-shot Point Cloud Semantic SegmentationCode0
APSeg: Auto-Prompt Model with Acquired and Injected Knowledge for Nuclear Instance Segmentation and Classification—0
Semantic segmentation of forest stands using deep learning—0
Delineate Anything: Resolution-Agnostic Field Boundary Delineation on Satellite ImageryCode2
SelfMedHPM: Self Pre-training With Hard Patches Mining Masked Autoencoders For Medical Image Segmentation—0
Agglomerating Large Vision Encoders via Distillation for VFSS Segmentation—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