SOTAVerified

Scene Understanding

Scene understanding involves interpreting the visual information of a scene, including objects, their spatial relationships, and the overall layout. It goes beyond simple object recognition by considering the context and how objects relate to each other and the environment.

Papers

Showing 15211530 of 1723 papers

TitleStatusHype
Weakly Supervised Segmentation on Outdoor 4D Point Clouds With Temporal Matching and Spatial Graph PropagationCode0
Towards Improving the Generation Quality of Autoregressive Slot VAEsCode0
SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR SequencesCode0
Deep Video Deblurring for Hand-Held CamerasCode0
RCNet: Deep Recurrent Collaborative Network for Multi-View Low-Light Image EnhancementCode0
Deep Video DeblurringCode0
IGFNet: Illumination-Guided Fusion Network for Semantic Scene Understanding using RGB-Thermal ImagesCode0
Real-time 3D Traffic Cone Detection for Autonomous DrivingCode0
Towards Global Localization using Multi-Modal Object-Instance Re-IdentificationCode0
Object Attribute Matters in Visual Question AnsweringCode0
Show:102550
← PrevPage 153 of 173Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ACRV BaselineOMQ0.44Unverified
2Team VGAI (TCS Research)OMQ0.37Unverified
3Demo_semantic_SLAMOMQ0.11Unverified
#ModelMetricClaimedVerifiedStatus
1CPN(ResNet-101)Mean IoU46.3Unverified
#ModelMetricClaimedVerifiedStatus
1ACRV BaselineOMQ0.35Unverified