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Found 4 papers, 4 papers with code
Uncovering the Background-Induced bias in RGB based 6-DoF Object Pose Estimation
We analyze how the presence of the markers affects the pose estimation accuracy, and how this bias may be mitigated through data augmentation and other methods.
CERBERUS: Simple and Effective All-In-One Automotive Perception Model with Multi Task Learning
Perceiving the surrounding environment is essential for enabling autonomous or assisted driving functionalities.
DCT-Former: Efficient Self-Attention with Discrete Cosine Transform
Since their introduction the Trasformer architectures emerged as the dominating architectures for both natural language processing and, more recently, computer vision applications.
All You Can Embed: Natural Language based Vehicle Retrieval with Spatio-Temporal Transformers
Combining Natural Language with Vision represents a unique and interesting challenge in the domain of Artificial Intelligence.
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