Cover Image

Recognizing Unseen States of Unknown Objects by Leveraging Knowledge Graphs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gouidis, Filipos, Papoutsakis, Konstantinos, Patkos, Theodore, Argyros, Antonis, Plexousakis, Dimitris
Format:	Preprint
Published:	2023
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fusing Domain-Specific Content from Large Language Models into Knowledge Graphs for Enhanced Zero Shot Object State Classification
by: Gouidis, Filippos, et al.
Published: (2024)

Anticipating Object State Changes in Long Procedural Videos
by: Manousaki, Victoria, et al.
Published: (2024)

Understanding Multimodal Complementarity for Single-Frame Action Anticipation
by: Benavent-Lledo, Manuel, et al.
Published: (2026)

Action Anticipation at a Glimpse: To What Extent Can Multimodal Cues Replace Video?
by: Benavent-Lledo, Manuel, et al.
Published: (2025)

Vision-Based Mistake Analysis in Procedural Activities: A Review of Advances and Challenges
by: Bacharidis, Konstantinos, et al.
Published: (2025)

ENACT: Entropy-based Clustering of Attention Input for Reducing the Computational Needs of Object Detection Transformers
by: Savathrakis, Giorgos, et al.
Published: (2024)

OCCAM: Class-Agnostic, Training-Free, Prior-Free and Multi-Class Object Counting
by: Spanakis, Michail, et al.
Published: (2026)

D-PoSE: Depth as an Intermediate Representation for 3D Human Pose and Shape Estimation
by: Vasilikopoulos, Nikolaos, et al.
Published: (2024)

Segmenting Known Objects and Unseen Unknowns without Prior Knowledge
by: Gasperini, Stefano, et al.
Published: (2022)

Y-MAP-Net: Real-time depth, normals, segmentation, multi-label captioning and 2D human pose in RGB images
by: Qammaz, Ammar, et al.
Published: (2024)

Enhancing Action Recognition by Leveraging the Hierarchical Structure of Actions and Textual Context
by: Benavent-Lledo, Manuel, et al.
Published: (2024)

A vision-based framework for human behavior understanding in industrial assembly lines
by: Papoutsakis, Konstantinos, et al.
Published: (2024)

Combining Facial Videos and Biosignals for Stress Estimation During Driving
by: Valergaki, Paraskevi, et al.
Published: (2026)

Enhancing Monocular 3D Hand Reconstruction with Learned Texture Priors
by: Karvounas, Giorgos, et al.
Published: (2025)

Learning to Infer Unseen Single-/Multi-Attribute-Object Compositions with Graph Networks
by: Chen, Hui, et al.
Published: (2020)

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects
by: Kim, Jaeguk, et al.
Published: (2025)

Object Pose Transformer: Unifying Unseen Object Pose Estimation
by: Li, Weihang, et al.
Published: (2026)

Imagining the Unseen: Generative Location Modeling for Object Placement
by: Yun, Jooyeol, et al.
Published: (2024)

Multimodal 3D Object Detection on Unseen Domains
by: Hegde, Deepti, et al.
Published: (2024)

DVMNet++: Rethinking Relative Pose Estimation for Unseen Objects
by: Zhao, Chen, et al.
Published: (2024)

PartGLEE: A Foundation Model for Recognizing and Parsing Any Objects
by: Li, Junyi, et al.
Published: (2024)

Recognize Any Surgical Object: Unleashing the Power of Weakly-Supervised Data
by: Li, Jiajie, et al.
Published: (2025)

Leveraging Unknown Objects to Construct Labeled-Unlabeled Meta-Relationships for Zero-Shot Object Navigation
by: Zheng, Yanwei, et al.
Published: (2024)

Trajectory-Aware Adaptive Inference in Object Detection Models
by: Papanikolaou, Grigorios, et al.
Published: (2026)

Unseen Object Reasoning with Shared Appearance Cues
by: Singh, Paridhi, et al.
Published: (2024)

Generalizing Single-View 3D Shape Retrieval to Occlusions and Unseen Objects
by: Wu, Qirui, et al.
Published: (2023)

GUMBEL-NERF: Representing Unseen Objects as Part-Compositional Neural Radiance Fields
by: Sekikawa, Yusuke, et al.
Published: (2024)

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image
by: Liu, Xingyu, et al.
Published: (2024)

FoundPose: Unseen Object Pose Estimation with Foundation Features
by: Örnek, Evin Pınar, et al.
Published: (2023)

Adapting Segment Anything Model for Unseen Object Instance Segmentation
by: Cao, Rui, et al.
Published: (2024)

An Empirical Study of the Generalization Ability of Lidar 3D Object Detectors to Unseen Domains
by: Eskandar, George, et al.
Published: (2024)

Detecting Unknown Objects via Energy-based Separation for Open World Object Detection
by: Heo, Jun-Woo, et al.
Published: (2026)

UN-DETR: Promoting Objectness Learning via Joint Supervision for Unknown Object Detection
by: Liu, Haomiao, et al.
Published: (2024)

PoseStreamer: A Multi-modal Framework for 3D Tracking of Unseen Moving Objects
by: Yang, Huiming, et al.
Published: (2025)

Beyond Flat Unknown Labels in Open-World Object Detection
by: Zhang, Yuchen, et al.
Published: (2025)

Few-View Object Reconstruction with Unknown Categories and Camera Poses
by: Jiang, Hanwen, et al.
Published: (2022)

A Likelihood Ratio-Based Approach to Segmenting Unknown Objects
by: Nayal, Nazir, et al.
Published: (2024)

Leveraging Neural Radiance Fields for Pose Estimation of an Unknown Space Object during Proximity Operations
by: Legrand, Antoine, et al.
Published: (2024)

UOD: Unseen Object Detection in 3D Point Cloud
by: Choi, Hyunjun, et al.
Published: (2024)

LocPoseNet: Robust Location Prior for Unseen Object Pose Estimation
by: Zhao, Chen, et al.
Published: (2022)