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 1591–1600 of 1723 papers

Title	Date	Tasks	Status	Hype
Weakly Supervised Affordance Detection	Jul 1, 2017	Affordance DetectionObject	CodeCode Available	0
Neural Scene De-Rendering	Jul 1, 2017	DecoderImage Captioning	—Unverified	0
Deep Video Deblurring for Hand-Held Cameras	Jul 1, 2017	DeblurringImage Deblurring	CodeCode Available	0
Segmentation Guided Attention Networks for Visual Question Answering	Jul 1, 2017	Common Sense ReasoningQuestion Answering	—Unverified	0
LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation	Jun 14, 2017	GPUScene Understanding	CodeCode Available	1
Efficient ConvNet for Real-time Semantic Segmentation	Jun 1, 2017	GPUReal-Time Semantic Segmentation	CodeCode Available	0
Dilated Residual Networks	May 28, 2017	ClassificationGeneral Classification	CodeCode Available	0
Towards seamless multi-view scene analysis from satellite to street-level	May 23, 2017	Change DetectionEarth Observation	—Unverified	0
Classification of Aerial Photogrammetric 3D Point Clouds	May 23, 2017	ClassificationGeneral Classification	—Unverified	0
DepthCut: Improved Depth Edge Estimation Using Multiple Unreliable Channels	May 22, 2017	Scene UnderstandingSegmentation	—Unverified	0

Show:10 25 50

← PrevPage 160 of 173Next →

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