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Segmentation

Papers

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Showing 6551–6600 of 13072 papers

TitleStatusHype
Friends Across Time: Multi-Scale Action Segmentation Transformer for Surgical Phase Recognition—0
FREST: Feature RESToration for Semantic Segmentation under Multiple Adverse Conditions—0
Adversarial Networks for the Detection of Aggressive Prostate Cancer—0
FReSCO: Flow Reconstruction and Segmentation for low latency Cardiac Output monitoring using deep artifact suppression and segmentation—0
Deep-ASPECTS: A Segmentation-Assisted Model for Stroke Severity Measurement—0
CLIPUNetr: Assisting Human-robot Interface for Uncalibrated Visual Servoing Control with CLIP-driven Referring Expression Segmentation—0
Deep asymmetric mixture model for unsupervised cell segmentation—0
FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation—0
Adversarial Neural Networks in Medical Imaging Advancements and Challenges in Semantic Segmentation—0
Logical Segmentation of Source Code—0
Frequency Disentangled Learning for Segmentation of Midbrain Structures from Quantitative Susceptibility Mapping Data—0
Latent Correlation Representation Learning for Brain Tumor Segmentation with Missing MRI Modalities—0
Decomposition-based Unsupervised Domain Adaptation for Remote Sensing Image Semantic Segmentation—0
A Review on Automatic License Plate Recognition System—0
Automatic Deep Learning System for COVID-19 Infection Quantification in chest CT—0
Latents2Segments: Disentangling the Latent Space of Generative Models for Semantic Segmentation of Face Images—0
Frequency and Spatial domain based Saliency for Pigmented Skin Lesion Segmentation—0
CLIP-S4: Language-Guided Self-Supervised Semantic Segmentation—0
Freeze the backbones: A Parameter-Efficient Contrastive Approach to Robust Medical Vision-Language Pre-training—0
Automatic defect segmentation by unsupervised anomaly learning—0
A Review on Automated Brain Tumor Detection and Segmentation from MRI of Brain—0
LATUP-Net: A Lightweight 3D Attention U-Net with Parallel Convolutions for Brain Tumor Segmentation—0
Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation—0
Deep Cerebellar Nuclei Segmentation via Semi-Supervised Deep Context-Aware Learning from 7T Diffusion MRI—0
Logic-induced Diagnostic Reasoning for Semi-supervised Semantic Segmentation—0
Lazy Random Walks for Superpixel Segmentation—0
LCCo: Lending CLIP to Co-Segmentation—0
LOGICSEG: Parsing Visual Semantics with Neural Logic Learning and Reasoning—0
Automatic Discourse Segmentation: Review and Perspectives—0
LCP-dropout: Compression-based Multiple Subword Segmentation for Neural Machine Translation—0
LDD: A Dataset for Grape Diseases Object Detection and Instance Segmentation—0
Automatic Discourse Segmentation: an evaluation in French—0
LDMRes-Net: Enabling Efficient Medical Image Segmentation on IoT and Edge Platforms—0
LD-ZNet: A Latent Diffusion Approach for Text-Based Image Segmentation—0
Freestyle Sketch-in-the-Loop Image Segmentation—0
Leaf Segmentation and Counting with Deep Learning: on Model Certainty, Test-Time Augmentation, Trade-Offs—0
Leaf segmentation through the classification of edges—0
Deep Consensus Learning—0
CLIP-S^4: Language-Guided Self-Supervised Semantic Segmentation—0
FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation—0
FreeSeg: Free Mask from Interpretable Contrastive Language-Image Pretraining for Semantic Segmentation—0
A review of technical factors to consider when designing neural networks for semantic segmentation of Earth Observation imagery—0
FreeSeg-Diff: Training-Free Open-Vocabulary Segmentation with Diffusion Models—0
Learned Image Compression for Machine Perception—0
Learned Shape-Tailored Descriptors for Segmentation—0
Learned Watershed: End-to-End Learning of Seeded Segmentation—0
CLIP Is Also a Good Teacher: A New Learning Framework for Inductive Zero-shot Semantic Segmentation—0
CLIP for Lightweight Semantic Segmentation—0
Learning 3D Dense Correspondence via Canonical Point Autoencoder—0
Linking Points With Labels in 3D: A Review of Point Cloud Semantic Segmentation—0
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All datasetsSA-1B.MFSDMMFloodSimGas

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1unSAM+ (Semi-supervised)Average Precision42.8—Unverified
2SAMAverage Precision38.9—Unverified
#ModelMetricClaimedVerifiedStatus
1HNN10%20—Unverified
#ModelMetricClaimedVerifiedStatus
1ABANetF1 Score96.82—Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50 + DeepLabV3+F1 score0.77—Unverified
#ModelMetricClaimedVerifiedStatus
1LangGasIoU0.69—Unverified