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Semantic Segmentation

Papers

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Showing 11751–11800 of 14763 papers

TitleStatusHype
A Convolutional Neural Network for Point Cloud Instance Segmentation in Cluttered Scene Trained by Synthetic Data Without Color—0
A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI—0
Gastric histopathology image segmentation using a hierarchical conditional random field—0
BUSU-Net: An Ensemble U-Net Framework for Medical Image Segmentation—0
LiDARNet: A Boundary-Aware Domain Adaptation Model for Point Cloud Semantic Segmentation—0
DEEVA: A Deep Learning and IoT Based Computer Vision System to Address Safety and Security of Production Sites in Energy Industry—0
Multi-Feature View-Based Shallow Convolutional Neural Network for Road Segmentation—0
3DCFS: Fast and Robust Joint 3D Semantic-Instance Segmentation via Coupled Feature Selection—0
FLIC: Fast Lidar Image Clustering—0
DGST : Discriminator Guided Scene Text detector—0
Improving Learning Effectiveness For Object Detection and Classification in Cluttered Backgrounds—0
Weak Supervision in Convolutional Neural Network for Semantic Segmentation of Diffuse Lung Diseases Using Partially Annotated DatasetCode0
Automatically Searching for U-Net Image Translator Architecture—0
Dam Burst: A region-merging-based image segmentation method—0
Fully-automated Body Composition Analysis in Routine CT Imaging Using 3D Semantic Segmentation Convolutional Neural Networks—0
Generalized Octave Convolutions for Learned Multi-Frequency Image CompressionCode0
Convex Shape Representation with Binary Labels for Image Segmentation: Models and Fast Algorithms—0
Automatic Data Augmentation via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation—0
Kullback-Leibler Divergence-Based Fuzzy C-Means Clustering Incorporating Morphological Reconstruction and Wavelet Frames for Image Segmentation—0
Introducing Fuzzy Layers for Deep Learning—0
SemanticPOSS: A Point Cloud Dataset with Large Quantity of Dynamic Instances—0
Weakly-Supervised Semantic Segmentation by Iterative Affinity Learning—0
Meta Segmentation Network for Ultra-Resolution Medical Images—0
Fine tuning U-Net for ultrasound image segmentation: which layers?—0
Deep Learning in Medical Ultrasound Image Segmentation: a Review—0
High-Order Paired-ASPP Networks for Semantic Segmenation—0
Towards Bounding-Box Free Panoptic Segmentation—0
Photi-LakeIce DatasetCode0
On the Matrix-Free Generation of Adversarial Perturbations for Black-Box Attacks—0
Lake Ice Detection from Sentinel-1 SAR with Deep Learning—0
DeepDualMapper: A Gated Fusion Network for Automatic Map Extraction using Aerial Images and Trajectories—0
Fully Convolutional Neural Networks for Raw Eye Tracking Data Segmentation, Generation, and Reconstruction—0
Block Annotation: Better Image Annotation for Semantic Segmentation with Sub-Image Decomposition—0
ARMA Nets: Expanding Receptive Field for Dense PredictionCode0
An End-to-End Framework for Unsupervised Pose Estimation of Occluded Pedestrians—0
SIP-SegNet: A Deep Convolutional Encoder-Decoder Network for Joint Semantic Segmentation and Extraction of Sclera, Iris and Pupil based on Periocular Region Suppression—0
Residual-Sparse Fuzzy C-Means Clustering Incorporating Morphological Reconstruction and Wavelet frames—0
SemI2I: Semantically Consistent Image-to-Image Translation for Domain Adaptation of Remote Sensing Data—0
Remove Appearance Shift for Ultrasound Image Segmentation via Fast and Universal Style Transfer—0
Liver Segmentation in Abdominal CT Images via Auto-Context Neural Network and Self-Supervised Contour Attention—0
Building Networks for Image Segmentation using Particle Competition and Cooperation—0
Layered Embeddings for Amodal Instance SegmentationCode0
GSANet: Semantic Segmentation with Global and Selective Attention—0
End-to-end semantic segmentation of personalized deep brain structures for non-invasive brain stimulationCode0
SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D Vehicle Detection from Point Cloud—0
Simple Interactive Image Segmentation using Label Propagation through kNN graphs—0
Retrain or not retrain? -- efficient pruning methods of deep CNN networks—0
Constrained Dominant sets and Its applications in computer vision—0
Learnable Bernoulli Dropout for Bayesian Deep Learning—0
Adjusting Image Attributes of Localized Regions with Low-level DialogueCode0
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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