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Showing 8401–8425 of 10696 papers

TitleStatusHype
Dense Global Context Aware RCNN for Object Detection—0
A High-Performance Object Proposals based on Horizontal High Frequency Signal—0
Intention Oriented Image Captions with Guiding Objects—0
Intent3D: 3D Object Detection in RGB-D Scans Based on Human Intention—0
Intelligent Spatial Perception by Building Hierarchical 3D Scene Graphs for Indoor Scenarios with the Help of LLMs—0
Intelligent Motion Planning for a Cost-effective Object Follower Mobile Robotic System with Obstacle Avoidance—0
BIGS: Bimanual Category-agnostic Interaction Reconstruction from Monocular Videos via 3D Gaussian Splatting—0
Intelligent Intersection: Two-Stream Convolutional Networks for Real-time Near Accident Detection in Traffic Video—0
Intelligent Debris Mass Estimation Model for Autonomous Underwater Vehicle—0
Integrity Assessment of Maritime Object Detection Impacted by Partial Camera Obstruction—0
Integration of Regularized l1 Tracking and Instance Segmentation for Video Object Tracking—0
Integration of the 3D Environment for UAV Onboard Visual Object Tracking—0
DenseAttentionSeg: Segment Hands from Interacted Objects Using Depth Input—0
A mosaic of Chu spaces and Channel Theory with applications to Object Identification and Mereological Complexity—0
Integrating Categorical Semantics into Unsupervised Domain Translation—0
Integrated Object Detection and Tracking with Tracklet-Conditioned Detection—0
Integrated Object Deformation and Contact Patch Estimation from Visuo-Tactile Feedback—0
DeNoising-MOT: Towards Multiple Object Tracking with Severe Occlusions—0
Integrated Multiscale Domain Adaptive YOLO—0
Integrated Deep and Shallow Networks for Salient Object Detection—0
DeNERT-KG: Named Entity and Relation Extraction Model Using DQN, Knowledge Graph, and BERT—0
A Monocular Event-Camera Motion Capture System—0
InstructRL4Pix: Training Diffusion for Image Editing by Reinforcement Learning—0
Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases—0
Demonstrate Once, Imitate Immediately (DOME): Learning Visual Servoing for One-Shot Imitation Learning—0
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