SOTAVerified

Segmentation

Papers

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Showing 6701–6725 of 13072 papers

TitleStatusHype
AttentionShift: Iteratively Estimated Part-Based Attention Map for Pointly Supervised Instance Segmentation—0
Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans—0
Atmospheric Transmission and Thermal Inertia Induced Blind Road Segmentation with a Large-Scale Dataset TBRSDCode0
Video Action Segmentation via Contextually Refined Temporal Keypoints—0
High Quality Entity Segmentation—0
Heat Diffusion Based Multi-Scale and Geometric Structure-Aware Transformer for Mesh Segmentation—0
3D Instance Segmentation via Enhanced Spatial and Semantic Supervision—0
ASPnet: Action Segmentation With Shared-Private Representation of Multiple Data Sources—0
Combining Implicit-Explicit View Correlation for Light Field Semantic Segmentation—0
Weakly-Supervised Action Segmentation and Unseen Error Detection in Anomalous Instructional Videos—0
SegLoc: Learning Segmentation-Based Representations for Privacy-Preserving Visual Localization—0
CLIP-S4: Language-Guided Self-Supervised Semantic Segmentation—0
Network-Free, Unsupervised Semantic Segmentation With Synthetic Images—0
MUVA: A New Large-Scale Benchmark for Multi-View Amodal Instance Segmentation in the Shopping Scenario—0
Pruning Parameterization With Bi-Level Optimization for Efficient Semantic Segmentation on the Edge—0
FedSeg: Class-Heterogeneous Federated Learning for Semantic Segmentation—0
Exploring Open-Vocabulary Semantic Segmentation from CLIP Vision Encoder Distillation OnlyCode0
Unsupervised Space-Time Network for Temporally-Consistent Segmentation of Multiple MotionsCode0
Exemplar-FreeSOLO: Enhancing Unsupervised Instance Segmentation With Exemplars—0
Camouflaged Instance Segmentation via Explicit De-Camouflaging—0
Tree Instance Segmentation With Temporal Contour Graph—0
Video State-Changing Object SegmentationCode0
Informing selection of performance metrics for medical image segmentation evaluation using configurable synthetic errors—0
AttEntropy: On the Generalization Ability of Supervised Semantic Segmentation Transformers to New Objects in New DomainsCode0
A Class-wise Non-salient Region Generalized Framework for Video 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