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Semantic Segmentation

Papers

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Showing 11001–11050 of 14763 papers

TitleStatusHype
Chair Segments: A Compact Benchmark for the Study of Object SegmentationCode0
Learning Vector Quantized Shape Code for Amodal Blastomere Instance Segmentation—0
Artist, Style And Year Classification Using Face Recognition And Clustering With Convolutional Neural Networks—0
Generation of annotated multimodal ground truth datasets for abdominal medical image registration—0
From a Fourier-Domain Perspective on Adversarial Examples to a Wiener Filter Defense for Semantic Segmentation—0
Consistent Structural Relation Learning for Zero-Shot Segmentation—0
Equivariant Networks for Hierarchical Structures—0
3D Guided Weakly Supervised Semantic Segmentation—0
Uncertainty-Aware Learning for Zero-Shot Semantic Segmentation—0
Reducing Textural Bias Improves Robustness of Deep Segmentation Models—0
Training and Inference for Integer-Based Semantic Segmentation Network—0
ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition—0
Multi-task GANs for Semantic Segmentation and Depth Completion with Cycle Consistency—0
UVid-Net: Enhanced Semantic Segmentation of UAV Aerial Videos by Embedding Temporal InformationCode0
Exploring Deep 3D Spatial Encodings for Large-Scale 3D Scene Understanding—0
Towards Robust Partially Supervised Multi-Structure Medical Image Segmentation on Small-Scale Data—0
Spherical Interpolated Convolutional Network with Distance-Feature Density for 3D Semantic Segmentation of Point Clouds—0
Descriptor-Free Multi-View Region Matching for Instance-Wise 3D Reconstruction—0
The Devil is in the Boundary: Exploiting Boundary Representation for Basis-based Instance Segmentation—0
Modelling brain lesion volume in patches with CNN-based Poisson Regression—0
PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image Segmentation—0
Multi-feature driven active contour segmentation model for infrared image with intensity inhomogeneity—0
CellSegmenter: unsupervised representation learning and instance segmentation of modular images—0
Deep-learning coupled with novel classification method to classify the urban environment of the developing world—0
Betrayed by Motion: Camouflaged Object Discovery via Motion Segmentation—0
Argmax Flows: Learning Categorical Distributions with Normalizing Flows—0
3D Registration for Self-Occluded Objects in Context—0
Scaling Wide Residual Networks for Panoptic Segmentation—0
Dense open-set recognition with synthetic outliers generated by Real NVPCode0
Deep learning model trained on mobile phone-acquired frozen section images effectively detects basal cell carcinoma—0
Efficient embedding network for 3D brain tumor segmentation—0
Densely connected multidilated convolutional networks for dense prediction tasks—0
Bridging Scene Understanding and Task Execution with Flexible Simulation Environments—0
Segmentation overlapping wear particles with few labelled data and imbalance sample—0
Unifying Instance and Panoptic Segmentation with Dynamic Rank-1 Convolutions—0
Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation—0
Deep LF-Net: Semantic Lung Segmentation from Indian Chest Radiographs Including Severely Unhealthy Images—0
SoftSeg: Advantages of soft versus binary training for image segmentation—0
Multi Receptive Field Network for Semantic Segmentation—0
Pyramid Point: A Multi-Level Focusing Network for Revisiting Feature Layers—0
SeekNet: Improved Human Instance Segmentation and Tracking via Reinforcement Learning Based Optimized Robot Relocation—0
MuGNet: Multi-Resolution Graph Neural Network for Large-Scale Pointcloud SegmentationCode0
High-level Prior-based Loss Functions for Medical Image Segmentation: A Survey—0
Efficient Medical Image Segmentation with Intermediate Supervision Mechanism—0
w-Net: Dual Supervised Medical Image Segmentation Model with Multi-Dimensional Attention and Cascade Multi-Scale Convolution—0
Studying Robustness of Semantic Segmentation under Domain Shift in cardiac MRI—0
Lung Segmentation in Chest X-rays with Res-CR-Net—0
LULC classification by semantic segmentation of satellite images using FastFCN—0
Learning to Segment Dynamic Objects using SLAM Outliers—0
A comparative study of semi- and self-supervised semantic segmentation of biomedical microscopy data—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