SOTAVerified

Scene Segmentation

Scene segmentation is the task of splitting a scene into its various object components.

Image adapted from Temporally coherent 4D reconstruction of complex dynamic scenes.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 226–250 of 283 papers

TitleStatusHype
Enhancing Local Feature Learning for 3D Point Cloud Processing using Unary-Pairwise Attention—0
Example-Guided Style-Consistent Image Synthesis From Semantic Labeling—0
Exploring 3D Activity Reasoning and Planning: From Implicit Human Intentions to Route-Aware Planning—0
Semantic Segmentation of RGBD Images With Mutex Constraints—0
Semantic segmentation of surgical hyperspectral images under geometric domain shifts—0
Real-Time Segmentation Networks should be Latency Aware—0
FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding—0
FBNet: Feature Balance Network for Urban-Scene Segmentation—0
Federated EndoViT: Pretraining Vision Transformers via Federated Learning on Endoscopic Image Collections—0
FedSaaS: Class-Consistency Federated Semantic Segmentation via Global Prototype Supervision and Local Adversarial Harmonization—0
FOR-instance: a UAV laser scanning benchmark dataset for semantic and instance segmentation of individual trees—0
Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation—0
Shift-Memory Network for Temporal Scene Segmentation—0
2020 CATARACTS Semantic Segmentation Challenge—0
Gaga: Group Any Gaussians via 3D-aware Memory Bank—0
General Dynamic Scene Reconstruction from Multiple View Video—0
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model—0
Urban Scene Semantic Segmentation with Low-Cost Coarse Annotation—0
Global-Local Propagation Network for RGB-D Semantic Segmentation—0
Value of Temporal Dynamics Information in Driving Scene Segmentation—0
Introducing Intermediate Domains for Effective Self-Training during Test-Time—0
SPNeRF: Open Vocabulary 3D Neural Scene Segmentation with Superpoints—0
Handling Geometric Domain Shifts in Semantic Segmentation of Surgical RGB and Hyperspectral Images—0
Hierarchical Knowledge Distillation for Dialogue Sequence Labeling—0
HR-SAR-Net: A Deep Neural Network for Urban Scene Segmentation from High-Resolution SAR Data—0
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All datasetsSUN-RGBDScanNetStreetHazardsMovieNetUAVid

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ICMMean IoU50.6—Unverified
2Index NetworkMean IoU33.48—Unverified
3DeepLab-LargeFOVMean IoU32.08—Unverified
4SegNetMean IoU31.84—Unverified
5FCNMean IoU27.39—Unverified
#ModelMetricClaimedVerifiedStatus
13DMVAverage Accuracy75—Unverified
2KPConv3DIoU68.6—Unverified
3PointNet++Average Accuracy60.2—Unverified
#ModelMetricClaimedVerifiedStatus
1Mask2AnomalyOpen-mIoU59.8—Unverified
2LDN121-RPLOpen-mIoU56.3—Unverified
3LDN121-DenseHybridOpen-mIoU45.8—Unverified
#ModelMetricClaimedVerifiedStatus
1NeighborNetAP71.9—Unverified
2TranS4merAP60.78—Unverified
#ModelMetricClaimedVerifiedStatus
1UNetFormerCategory mIoU67.8—Unverified