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Showing 4701–4725 of 10696 papers

TitleStatusHype
Audio-Visual Segmentation by Exploring Cross-Modal Mutual Semantics—0
Bridging the Gap: Exploring the Capabilities of Bridge-Architectures for Complex Visual Reasoning Tasks—0
Detecting Out-of-distribution Objects Using Neuron Activation PatternsCode0
A Modular Ontology for MODS -- Metadata Object Description Schema—0
Uncertainty-Encoded Multi-Modal Fusion for Robust Object Detection in Autonomous Driving—0
Implementing Edge Based Object Detection For Microplastic Debris—0
Enhancing Object Detection in Ancient Documents with Synthetic Data Generation and Transformer-Based Models—0
TrackAgent: 6D Object Tracking via Reinforcement Learning—0
Aligned Unsupervised Pretraining of Object Detectors with Self-training—0
Generalized Open-World Semi-Supervised Object Detection—0
The detection and rectification for identity-switch based on unfalsified control—0
A Memory-Augmented Multi-Task Collaborative Framework for Unsupervised Traffic Accident Detection in Driving Videos—0
YOLOBench: Benchmarking Efficient Object Detectors on Embedded SystemsCode0
Cos R-CNN for Online Few-shot Object Detection—0
3DRP-Net: 3D Relative Position-aware Network for 3D Visual Grounding—0
Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation—0
LIST: Learning Implicitly from Spatial Transformers for Single-View 3D ReconstructionCode0
TransNet: Transparent Object Manipulation Through Category-Level Pose Estimation—0
Challenges for Monocular 6D Object Pose Estimation in Robotics—0
Spatial Self-Distillation for Object Detection with Inaccurate Bounding Boxes—0
Leveraging Knowledge Graphs for Zero-Shot Object-agnostic State Classification—0
R2Det: Redemption from Range-view for Accurate 3D Object Detection—0
YOLOPose V2: Understanding and Improving Transformer-based 6D Pose Estimation—0
SCA-PVNet: Self-and-Cross Attention Based Aggregation of Point Cloud and Multi-View for 3D Object Retrieval—0
A novel integrated method of detection-grasping for specific object based on the box coordinate matching—0
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