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Found 7 papers, 5 papers with code
Unveiling the Ambiguity in Neural Inverse Rendering: A Parameter Compensation Analysis
Inverse rendering aims to reconstruct the scene properties of objects solely from multiview images.
RGB-X Object Detection via Scene-Specific Fusion Modules
Multimodal deep sensor fusion has the potential to enable autonomous vehicles to visually understand their surrounding environments in all weather conditions.
DatasetEquity: Are All Samples Created Equal? In The Quest For Equity Within Datasets
Data imbalance is a well-known issue in the field of machine learning, attributable to the cost of data collection, the difficulty of labeling, and the geographical distribution of the data.
Ref-DVGO: Reflection-Aware Direct Voxel Grid Optimization for an Improved Quality-Efficiency Trade-Off in Reflective Scene Reconstruction
To this end, we investigate an implicit-explicit approach based on conventional volume rendering to enhance the reconstruction quality and accelerate the training and rendering processes.
Category-Level Pose Retrieval with Contrastive Features Learnt with Occlusion Augmentation
In both cases, the idea is to directly predict the pose of an object.
Domain Adaptation for Object Detection using SE Adaptors and Center Loss
Despite growing interest in object detection, very few works address the extremely practical problem of cross-domain robustness especially for automative applications.
Structure Aware and Class Balanced 3D Object Detection on nuScenes Dataset
Point cloud based methods have become increasingly popular for 3-D object detection, owing to their accurate depth information.
