Scene Segmentation
120 papers with code • 5 benchmarks • 7 datasets
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.
Benchmarks
These leaderboards are used to track progress in Scene Segmentation
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Libraries
Use these libraries to find Scene Segmentation models and implementations
ScanNet
NYUv2
SUN RGB-D
UAVid
StreetHazards
Mila Simulated Floods
Berkeley DeepDrive Video
Latest papers with no code
U3DS$^3$: Unsupervised 3D Semantic Scene Segmentation
To achieve this, U3DS$^3$ leverages a generalized unsupervised segmentation method for both object and background across both indoor and outdoor static 3D point clouds with no requirement for model pre-training, by leveraging only the inherent information of the point cloud to achieve full 3D scene segmentation.
Towards Scenario-based Safety Validation for Autonomous Trains with Deep Generative Models
A common approach is to conduct safety validation based on a predefined Operational Design Domain (ODD) describing specific conditions under which a system under test is required to operate properly.
A Metacognitive Approach to Out-of-Distribution Detection for Segmentation
Despite outstanding semantic scene segmentation in closed-worlds, deep neural networks segment novel instances poorly, which is required for autonomous agents acting in an open world.
Elastic Interaction Energy-Informed Real-Time Traffic Scene Perception
Urban segmentation and lane detection are two important tasks for traffic scene perception.
FOR-instance: a UAV laser scanning benchmark dataset for semantic and instance segmentation of individual trees
In conclusion, the FOR-instance dataset contributes to filling a gap in the 3D forest research, enhancing the development and benchmarking of segmentation algorithms for dense airborne laser scanning data.
MEGA: Multimodal Alignment Aggregation and Distillation For Cinematic Video Segmentation
Previous research has studied the task of segmenting cinematic videos into scenes and into narrative acts.
MOVES: Movable and Moving LiDAR Scene Segmentation in Label-Free settings using Static Reconstruction
In the real world however, LiDAR scans consist of non-stationary dynamic structures - moving and movable objects.
Cross-CBAM: A Lightweight network for Scene Segmentation
And we propose a Cross Convolutional Block Attention Module(CCBAM), in which a cross-multiply operation is employed in the CCBAM module to make high-level semantic information guide low-level detail information.
SSS3D: Fast Neural Architecture Search For Efficient Three-Dimensional Semantic Segmentation
We present SSS3D, a fast multi-objective NAS framework designed to find computationally efficient 3D semantic scene segmentation networks.
CROVIA: Seeing Drone Scenes from Car Perspective via Cross-View Adaptation
First, a novel geometry-based constraint to cross-view adaptation is introduced based on the geometry correlation between views.
