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

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Showing 601–650 of 1723 papers

TitleStatusHype
DA-RNN: Semantic Mapping with Data Associated Recurrent Neural NetworksCode0
Improving Social Awareness Through DANTE: A Deep Affinity Network for Clustering Conversational InteractantsCode0
Auxiliary Tasks in Multi-task LearningCode0
On the iterative refinement of densely connected representation levels for semantic segmentationCode0
DADA: Driver Attention Prediction in Driving Accident ScenariosCode0
One model to use them all: Training a segmentation model with complementary datasetsCode0
Cross-Modality Time-Variant Relation Learning for Generating Dynamic Scene GraphsCode0
CrossModalityDiffusion: Multi-Modal Novel View Synthesis with Unified Intermediate RepresentationCode0
Hierarchical Superpixel Segmentation via Structural Information TheoryCode0
Object Attribute Matters in Visual Question AnsweringCode0
Hierarchical Context Transformer for Multi-level Semantic Scene UnderstandingCode0
Auto-Embedding Generative Adversarial Networks for High Resolution Image SynthesisCode0
Object-aware Sound Source Localization via Audio-Visual Scene UnderstandingCode0
Omni-Recon: Harnessing Image-based Rendering for General-Purpose Neural Radiance FieldsCode0
On the Structures of Representation for the Robustness of Semantic Segmentation to Input CorruptionCode0
P2AT: Pyramid Pooling Axial Transformer for Real-time Semantic SegmentationCode0
Neighbor-Vote: Improving Monocular 3D Object Detection through Neighbor Distance VotingCode0
Neural Radiance Field CodebooksCode0
Multi-task Planar Reconstruction with Feature Warping GuidanceCode0
Multi-task Geometric Estimation of Depth and Surface Normal from Monocular 360° ImagesCode0
Neural RGB->D Sensing: Depth and Uncertainty from a Video CameraCode0
ShelfNet for Fast Semantic SegmentationCode0
Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose EstimationCode0
Multi-Resolution Multi-Modal Sensor Fusion For Remote Sensing Data With Label UncertaintyCode0
Contrastive Instance Association for 4D Panoptic Segmentation using Sequences of 3D LiDAR ScansCode0
Multimodal Scale Consistency and Awareness for Monocular Self-Supervised Depth EstimationCode0
Grid-augmented vision: A simple yet effective approach for enhanced spatial understanding in multi-modal agentsCode0
Continual Learning of Unsupervised Monocular Depth from VideosCode0
MultiDepth: Single-Image Depth Estimation via Multi-Task Regression and ClassificationCode0
MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object LocalizationCode0
Good at captioning, bad at counting: Benchmarking GPT-4V on Earth observation dataCode0
Constructing a Visual Relationship Authenticity DatasetCode0
Monocular 3D Object Detection with Pseudo-LiDAR Point CloudCode0
MovSAM: A Single-image Moving Object Segmentation Framework Based on Deep ThinkingCode0
NextStop: An Improved Tracker For Panoptic LIDAR Segmentation DataCode0
Confidence-Aware Paced-Curriculum Learning by Label Smoothing for Surgical Scene UnderstandingCode0
MLLM-SUL: Multimodal Large Language Model for Semantic Scene Understanding and Localization in Traffic ScenariosCode0
MLM: A Benchmark Dataset for Multitask Learning with Multiple Languages and ModalitiesCode0
MetricGold: Leveraging Text-To-Image Latent Diffusion Models for Metric Depth EstimationCode0
MGNiceNet: Unified Monocular Geometric Scene UnderstandingCode0
Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object ExchangeCode0
Computational Imaging for Machine Perception: Transferring Semantic Segmentation beyond AberrationsCode0
MC-PanDA: Mask Confidence for Panoptic Domain AdaptationCode0
General-Purpose Deep Point Cloud Feature ExtractorCode0
Attend, Infer, Repeat: Fast Scene Understanding with Generative ModelsCode0
Hierarchical Spatial Proximity Reasoning for Vision-and-Language NavigationCode0
Matterport3D: Learning from RGB-D Data in Indoor EnvironmentsCode0
Generalizing Surgical Instruments Segmentation to Unseen Domains with One-to-Many SynthesisCode0
METEOR Guided Divergence for Video CaptioningCode0
Model-based inexact graph matching on top of CNNs for semantic scene understandingCode0
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All datasetsSemantic Scene Understanding Challenge (passive actuation & ground-truth localisation)ADE20K valSemantic Scene Understanding Challenge (active actuation & ground-truth localisation)

Benchmark Results

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