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Showing 1126–1150 of 10696 papers

TitleStatusHype
Zero-Shot Object-Centric Representation Learning—0
PADetBench: Towards Benchmarking Physical Attacks against Object DetectionCode1
Depth-guided Texture Diffusion for Image Semantic Segmentation—0
Enhancing Object Detection with Hybrid dataset in Manufacturing Environments: Comparing Federated Learning to Conventional Techniques—0
TEXTOC: Text-driven Object-Centric Style Transfer—0
Multimodal Relational Triple Extraction with Query-based Entity Object Transformer—0
FunEditor: Achieving Complex Image Edits via Function Aggregation with Diffusion Models—0
Comparative Evaluation of 3D Reconstruction Methods for Object Pose EstimationCode1
GOReloc: Graph-based Object-Level Relocalization for Visual SLAMCode2
Panacea+: Panoramic and Controllable Video Generation for Autonomous DrivingCode3
See It All: Contextualized Late Aggregation for 3D Dense Captioning—0
Infra-YOLO: Efficient Neural Network Structure with Model Compression for Real-Time Infrared Small Object Detection—0
Bi-directional Contextual Attention for 3D Dense Captioning—0
Exploring Domain Shift on Radar-Based 3D Object Detection Amidst Diverse Environmental Conditions—0
Divide and Conquer: Improving Multi-Camera 3D Perception with 2D Semantic-Depth Priors and Input-Dependent Queries—0
Unified-IoU: For High-Quality Object DetectionCode1
SceneGPT: A Language Model for 3D Scene Understanding—0
Integrating Saliency Ranking and Reinforcement Learning for Enhanced Object DetectionCode1
SlotLifter: Slot-guided Feature Lifting for Learning Object-centric Radiance Fields—0
DC3DO: Diffusion Classifier for 3D ObjectsCode1
MV2DFusion: Leveraging Modality-Specific Object Semantics for Multi-Modal 3D Detection—0
DPDETR: Decoupled Position Detection Transformer for Infrared-Visible Object DetectionCode0
Robust Domain Generalization for Multi-modal Object Recognition—0
U-DECN: End-to-End Underwater Object Detection ConvNet with Improved DeNoising TrainingCode0
MacFormer: Semantic Segmentation with Fine Object Boundaries—0
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