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 451–460 of 1723 papers

Title	Date	Tasks	Status	Hype
Image Segmentation Using Deep Learning: A Survey	Jan 15, 2020	DecoderDeep Learning	CodeCode Available	1
NODIS: Neural Ordinary Differential Scene Understanding	Jan 14, 2020	AllGraph Generation	CodeCode Available	1
Visual-Semantic Graph Attention Networks for Human-Object Interaction Detection	Jan 7, 2020	Graph AttentionHuman-Object Interaction Detection	CodeCode Available	1
IRS: A Large Naturalistic Indoor Robotics Stereo Dataset to Train Deep Models for Disparity and Surface Normal Estimation	Dec 20, 2019	Disparity EstimationScene Understanding	CodeCode Available	1
AeroRIT: A New Scene for Hyperspectral Image Analysis	Dec 17, 2019	Hyperspectral image analysisImage Super-Resolution	CodeCode Available	1
TextSLAM: Visual SLAM with Planar Text Features	Nov 26, 2019	Object SLAMScene Understanding	CodeCode Available	1
Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN	Nov 20, 2019	2kGenerative Adversarial Network	CodeCode Available	1
DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames	Nov 1, 2019	Autonomous NavigationGPU	CodeCode Available	1
Underwater Image Super-Resolution using Deep Residual Multipliers	Sep 20, 2019	Image Super-ResolutionScene Understanding	CodeCode Available	1
Global Aggregation then Local Distribution in Fully Convolutional Networks	Sep 16, 2019	Instance Segmentationobject-detection	CodeCode Available	1

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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