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Semantic Segmentation

Papers

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Showing 14201–14250 of 14763 papers

TitleStatusHype
Bottom-up Instance Segmentation using Deep Higher-Order CRFs—0
Automated Segmentation of Retinal Layers from Optical Coherent Tomography Images Using Geodesic Distance—0
UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited MemoryCode0
Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image SegmentationCode0
Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation—0
Image segmentation based on histogram of depth and an application in driver distraction detection—0
Radiation Search Operations using Scene Understanding with Autonomous UAV and UGV—0
Utilizing Large Scale Vision and Text Datasets for Image Segmentation from Referring Expressions—0
A 4D Light-Field Dataset and CNN Architectures for Material Recognition—0
Efficient Continuous Relaxations for Dense CRF—0
VoxResNet: Deep Voxelwise Residual Networks for Volumetric Brain SegmentationCode0
STFCN: Spatio-Temporal FCN for Semantic Video SegmentationCode0
Multi-stage Object Detection with Group Recursive Learning—0
Semantic Understanding of Scenes through the ADE20K DatasetCode0
Parameter Learning for Log-supermodular Distributions—0
SSHMT: Semi-supervised Hierarchical Merge Tree for Electron Microscopy Image SegmentationCode0
The Importance of Skip Connections in Biomedical Image SegmentationCode0
Reasoning and Algorithm Selection Augmented Symbolic Segmentation—0
Learning Dynamic Hierarchical Models for Anytime Scene Labeling—0
Fractional Calculus In Image Processing: A Review—0
Gaze2Segment: A Pilot Study for Integrating Eye-Tracking Technology into Medical Image Segmentation—0
Object Detection, Tracking, and Motion Segmentation for Object-level Video Segmentation—0
A combined Approach Based on Fuzzy Classification and Contextual Region Growing to Image Segmentation—0
Playing for Data: Ground Truth from Computer GamesCode0
Adapting Deep Network Features to Capture Psychological RepresentationsCode0
Play and Learn: Using Video Games to Train Computer Vision Models—0
An efficient iterative thresholding method for image segmentationCode0
Learning Common and Specific Features for RGB-D Semantic Segmentation with Deconvolutional Networks—0
Interactive Image Segmentation Using Constrained Dominant Sets—0
Joint Optical Flow and Temporally Consistent Semantic Segmentation—0
Region-based semantic segmentation with end-to-end trainingCode0
A Local-Global Approach to Semantic Segmentation in Aerial Images—0
HeMIS: Hetero-Modal Image SegmentationCode0
Gland Instance Segmentation by Deep Multichannel Neural Networks—0
Adaptable Precomputation for Random Walker Image Segmentation and Registration—0
Gland Instance Segmentation by Deep Multichannel Side Supervision—0
Screen Content Image Segmentation Using Robust Regression and Sparse Decomposition—0
Artificial neural networks and fuzzy logic for recognizing alphabet characters and mathematical symbols—0
Incorporating prior knowledge in medical image segmentation: a survey—0
Click Carving: Segmenting Objects in Video with Point Clicks—0
Can we unify monocular detectors for autonomous driving by using the pixel-wise semantic segmentation of CNNs?—0
Geometry in Active Learning for Binary and Multi-class Image Segmentation—0
Scene Text Detection via Holistic, Multi-Channel Prediction—0
Interactive Image Segmentation From A Feedback Control Perspective—0
Disjunctive Normal Level Set: An Efficient Parametric Implicit Method—0
Deep Learning Markov Random Field for Semantic Segmentation—0
Detection and Tracking of Liquids with Fully Convolutional Networks—0
Slack and Margin Rescaling as Convex Extensions of Supermodular FunctionsCode0
ZNNi - Maximizing the Inference Throughput of 3D Convolutional Networks on Multi-Core CPUs and GPUs—0
High-resolution LIDAR-based Depth Mapping using Bilateral Filter—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