Scene Understanding
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Benchmarks
ADE20K val
Most implemented
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Microsoft COCO: Common Objects in Context
Unified Perceptual Parsing for Scene Understanding
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding
Digging Into Self-Supervised Monocular Depth Estimation
LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation
Papers
Latent-Foresight: End-to-End Learning Predictable Representations for Latent World Models
Predicting the future evolution of a scene is a fundamental capability for world modeling. Recent work has shown that operating in the feature space of Vision Foundation Models (VFMs) yields semantically rich representat…
Dimensionality ReductionRepresentation LearningScene UnderstandingGenCOPE: Syn2Real Generalized Category-Level Object Pose Estimation for Robotic Picking
Category-level object pose estimation (COPE), capable of generalizing to intra-class unknown objects, has become a core technique for robotic 3D scene understanding. However, existing COPE methods still require labor-int…
Domain GeneralizationScene UnderstandingPose EstimationTowards Reliable Vision-Language Models for Autonomous Driving
Vision-Language models (VLMs) are increasingly being explored in autonomous driving for tasks such as scene understanding, driving reasoning, decision-making, and end-to-end driving. As their role becomes more prominent,…
Scene UnderstandingAutonomous DrivingDriveMCP: An Agentic AI framework for Advanced Driver Assistance System
An agentic AI driver-assistance framework that integrates perception, compliance reasoning, vehicle-state interpretation, and safety arbitration into a modular and auditable pipeline. The architecture, referred to as Dri…
Visual Question AnsweringScene UnderstandingNeuroSymbEAD: A Large Scale Neuro-Symbolic Caption Dataset for Omni-Directional Embodied Autonomous Driving
This paper introduces NeuroSymbEAD, a large-scale neuro-symbolic caption dataset featuring an ego-centric knowledge graph (KG) of static and dynamic objects annotated with classes, categories, heading directions, orienta…
Scene Understanding3D Object DetectionAutonomous DrivingTEDi: Temporal Memory-Enhanced and Denoising Transformer for Surgical Instrument Segmentation
Query-based segmentation methods have shown promising potential for surgical instrument segmentation and recognition, which is essential for scene understanding and downstream tasks in computer assisted surgery. However,…
Scene Understanding