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Semantic Segmentation

Papers

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Showing 7051–7100 of 14763 papers

TitleStatusHype
PWISeg: Point-based Weakly-supervised Instance Segmentation for Surgical InstrumentsCode0
Two-stage Joint Transductive and Inductive learning for Nuclei Segmentation—0
Correlation-aware active learning for surgery video segmentation—0
NormNet: Scale Normalization for 6D Pose Estimation in Stacked Scenarios—0
Nondestructive, quantitative viability analysis of 3D tissue cultures using machine learning image segmentation—0
Test-Time Training for Semantic Segmentation with Output Contrastive LossCode0
Zero-Shot Segmentation of Eye Features Using the Segment Anything Model (SAM)Code0
USLR: an open-source tool for unbiased and smooth longitudinal registration of brain MRCode0
LocaliseBot: Multi-view 3D object localisation with differentiable rendering for robot grasping—0
Efficient Rotation Invariance in Deep Neural Networks through Artificial Mental Rotation—0
Level Set KSVD—0
Temporal Performance Prediction for Deep Convolutional Long Short-Term Memory Networks—0
Pruning random resistive memory for optimizing analogue AI—0
PICS in Pics: Physics Informed Contour Selection for Rapid Image Segmentation—0
Sketch-based Video Object Segmentation: Benchmark and Analysis—0
Simultaneous Clutter Detection and Semantic Segmentation of Moving Objects for Automotive Radar Data—0
Assessing Test-time Variability for Interactive 3D Medical Image Segmentation with Diverse Point PromptsCode0
Robust semi-supervised segmentation with timestep ensembling diffusion models—0
Osteoporosis Prediction from Hand and Wrist X-rays using Image Segmentation and Self-Supervised Learning—0
3DFusion, A real-time 3D object reconstruction pipeline based on streamed instance segmented data—0
FDNet: Feature Decoupled Segmentation Network for Tooth CBCT Image—0
Diagonal Hierarchical Consistency Learning for Semi-supervised Medical Image Segmentation—0
IODeep: an IOD for the introduction of deep learning in the DICOM standardCode0
Automatic Report Generation for Histopathology images using pre-trained Vision TransformersCode0
Lidar-based Norwegian tree species detection using deep learning—0
EviPrompt: A Training-Free Evidential Prompt Generation Method for Segment Anything Model in Medical Images—0
Enhancing Rock Image Segmentation in Digital Rock Physics: A Fusion of Generative AI and State-of-the-Art Neural Networks—0
Efficient Segmentation with Texture in Ore Images Based on Box-supervised ApproachCode0
Reducing the Side-Effects of Oscillations in Training of Quantized YOLO Networks—0
SeaTurtleID2022: A long-span dataset for reliable sea turtle re-identification—0
PolyMaX: General Dense Prediction with Mask Transformer—0
SAMVG: A Multi-stage Image Vectorization Model with the Segment-Anything Model—0
Single-shot Tomography of Discrete Dynamic ObjectsCode0
SKU-Patch: Towards Efficient Instance Segmentation for Unseen Objects in Auto-Store—0
Learning the What and How of Annotation in Video Object Segmentation—0
Are foundation models efficient for medical image segmentation?—0
Data exploitation: multi-task learning of object detection and semantic segmentation on partially annotated dataCode0
Supervised domain adaptation for building extraction from off-nadir aerial images—0
Multiclass Segmentation using Teeth Attention Modules for Dental X-ray Images—0
OmniVec: Learning robust representations with cross modal sharing—0
Zero-Shot Enhancement of Low-Light Image Based on Retinex DecompositionCode0
Leveraging point annotations in segmentation learning with boundary loss—0
COLA: COarse-LAbel multi-source LiDAR semantic segmentation for autonomous driving—0
Segmentation of Drone Collision Hazards in Airborne RADAR Point Clouds Using PointNet—0
SegGen: Supercharging Segmentation Models with Text2Mask and Mask2Img Synthesis—0
Masking Hyperspectral Imaging Data with Pretrained ModelsCode0
Truly Scale-Equivariant Deep Nets with Fourier LayersCode0
Unsupervised Region-Growing Network for Object Segmentation in Atmospheric Turbulence—0
Pelvic floor MRI segmentation based on semi-supervised deep learning—0
TFNet: Tuning Fork Network with Neighborhood Pixel Aggregation for Improved Building Footprint Extraction—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