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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1481–1490 of 1723 papers

Title	Date	Tasks	Status
The H3D Dataset for Full-Surround 3D Multi-Object Detection and Tracking in Crowded Urban Scenes	Mar 4, 2019	3D Object DetectionObject	—Unverified
An efficient solution for semantic segmentation: ShuffleNet V2 with atrous separable convolutions	Feb 20, 2019	Autonomous DrivingScene Understanding	CodeCode Available
Deeply Supervised Multimodal Attentional Translation Embeddings for Visual Relationship Detection	Feb 15, 2019	Relationship DetectionScene Understanding	CodeCode Available
Gated2Depth: Real-time Dense Lidar from Gated Images	Feb 13, 2019	Scene Understanding	CodeCode Available
Software-Defined FPGA Accelerator Design for Mobile Deep Learning Applications	Feb 8, 2019	Deep LearningHigh-Level Synthesis	—Unverified
Single Network Panoptic Segmentation for Street Scene Understanding	Feb 7, 2019	Instance SegmentationPanoptic Segmentation	CodeCode Available
Real-time 3D Traffic Cone Detection for Autonomous Driving	Feb 6, 2019	3D Object DetectionAutonomous Driving	CodeCode Available
VrR-VG: Refocusing Visually-Relevant Relationships	Feb 1, 2019	Image CaptioningQuestion Answering	—Unverified
Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection	Jan 25, 2019	Anomaly DetectionDecoder	CodeCode Available
Neural RGB->D Sensing: Depth and Uncertainty from a Video Camera	Jan 9, 2019	3D Reconstruction3D Scene Reconstruction	CodeCode Available

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All datasets Semantic Scene Understanding Challenge (passive actuation & ground-truth localisation)ADE20K val Semantic Scene Understanding Challenge (active actuation & ground-truth localisation)

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	ACRV Baseline	OMQ	0.44	—	Unverified
2	Team VGAI (TCS Research)	OMQ	0.37	—	Unverified
3	Demo_semantic_SLAM	OMQ	0.11	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CPN(ResNet-101)	Mean IoU	46.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ACRV Baseline	OMQ	0.35	—	Unverified