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Papers

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Showing 5776–5800 of 10696 papers

TitleStatusHype
Investigations on Output Parameterizations of Neural Networks for Single Shot 6D Object Pose Estimation—0
Mixup-CAM: Weakly-supervised Semantic Segmentation via Uncertainty Regularization—0
Mixup Regularization for Region Proposal based Object Detectors—0
Investigating the robustness of a learning-based method for quantitative phase retrieval from propagation-based x-ray phase contrast measurements under laboratory conditions—0
Depth-guided Texture Diffusion for Image Semantic Segmentation—0
DynaMoDe-NeRF: Motion-aware Deblurring Neural Radiance Field for Dynamic Scenes—0
MMDR: A Result Feature Fusion Object Detection Approach for Autonomous System—0
MM-FSOD: Meta and metric integrated few-shot object detection—0
MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing—0
Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking—0
Investigating the Importance of Shape Features, Color Constancy, Color Spaces and Similarity Measures in Open-Ended 3D Object Recognition—0
BitCoin: Bidirectional Tagging and Supervised Contrastive Learning based Joint Relational Triple Extraction Framework—0
MMSS: Multi-Modal Sharable and Specific Feature Learning for RGB-D Object Recognition—0
Investigating the feature collection for semantic segmentation via single skip connection—0
MOANA: Multi-Radar Dataset for Maritime Odometry and Autonomous Navigation Application—0
Investigating the Challenges of Class Imbalance and Scale Variation in Object Detection in Aerial Images—0
Depth-discriminative Metric Learning for Monocular 3D Object Detection—0
A Comprehensive Study on Object Detection Techniques in Unconstrained Environments—0
Mobile Object Tracking in Panoramic Video and LiDAR for Radiological Source-Object Attribution and Improved Source Detection—0
Investigating Simple Object Representations in Model-Free Deep Reinforcement Learning—0
Open-Vocabulary Object Detectors: Robustness Challenges under Distribution Shifts—0
Investigating Fine- and Coarse-grained Structural Correspondences Between Deep Neural Networks and Human Object Image Similarity Judgments Using Unsupervised Alignment—0
Exploring Depth Contribution for Camouflaged Object Detection—0
Birth and Death of a Rose—0
Inverting and Visualizing Features for Object Detection—0
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