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 7180 of 283 papers

TitleStatusHype
Context Prior for Scene SegmentationCode1
DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D MeshesCode1
Fusion-Aware Point Convolution for Online Semantic 3D Scene SegmentationCode1
Cars Can't Fly up in the Sky: Improving Urban-Scene Segmentation via Height-driven Attention NetworksCode1
FPConv: Learning Local Flattening for Point ConvolutionCode1
2018 Robotic Scene Segmentation ChallengeCode1
KPConv: Flexible and Deformable Convolution for Point CloudsCode1
Panoptic SegmentationCode1
PointNet: Deep Learning on Point Sets for 3D Classification and SegmentationCode1
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image SegmentationCode1
Show:102550
← PrevPage 8 of 29Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ICMMean IoU50.6Unverified
2Index NetworkMean IoU33.48Unverified
3DeepLab-LargeFOVMean IoU32.08Unverified
4SegNetMean IoU31.84Unverified
5FCNMean IoU27.39Unverified
#ModelMetricClaimedVerifiedStatus
13DMVAverage Accuracy75Unverified
2KPConv3DIoU68.6Unverified
3PointNet++Average Accuracy60.2Unverified
#ModelMetricClaimedVerifiedStatus
1Mask2AnomalyOpen-mIoU59.8Unverified
2LDN121-RPLOpen-mIoU56.3Unverified
3LDN121-DenseHybridOpen-mIoU45.8Unverified
#ModelMetricClaimedVerifiedStatus
1NeighborNetAP71.9Unverified
2TranS4merAP60.78Unverified
#ModelMetricClaimedVerifiedStatus
1UNetFormerCategory mIoU67.8Unverified