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

Showing 51–75 of 283 papers

TitleStatusHype
Context Prior for Scene SegmentationCode1
A Shared Representation for Photorealistic Driving SimulatorsCode1
GTA-HDR: A Large-Scale Synthetic Dataset for HDR Image ReconstructionCode1
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image SegmentationCode1
Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained ModelsCode1
KPConv: Flexible and Deformable Convolution for Point CloudsCode1
Adaptive Boosting for Domain Adaptation: Towards Robust Predictions in Scene SegmentationCode1
Diffusion Unit: Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud SegmentationCode1
Learning and Reasoning with the Graph Structure Representation in Robotic SurgeryCode1
Query3D: LLM-Powered Open-Vocabulary Scene Segmentation with Language Embedded 3D GaussianCode1
Efficient Movie Scene Detection using State-Space TransformersCode1
Learning Physical Graph Representations from Visual ScenesCode1
DenseHybrid: Hybrid Anomaly Detection for Dense Open-set RecognitionCode1
2018 Robotic Scene Segmentation ChallengeCode1
MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image SegmentationCode1
Paced-Curriculum Distillation with Prediction and Label Uncertainty for Image SegmentationCode1
Push-the-Boundary: Boundary-aware Feature Propagation for Semantic Segmentation of 3D Point CloudsCode1
Multi-Domain Incremental Learning for Semantic SegmentationCode1
Bird's-Eye-View Panoptic Segmentation Using Monocular Frontal View ImagesCode1
Double Domain Guided Real-Time Low-Light Image Enhancement for Ultra-High-Definition Transportation SurveillanceCode1
Scene Consistency Representation Learning for Video Scene SegmentationCode1
DSPoint: Dual-scale Point Cloud Recognition with High-frequency FusionCode1
AdaptiveSAM: Towards Efficient Tuning of SAM for Surgical Scene SegmentationCode1
DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D MeshesCode1
Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward MaximizationCode1
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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