Training an Open-Vocabulary Monocular 3D Object Detection Model without 3D Data
Open-vocabulary 3D object detection has recently attracted considerable attention due to its
broad applications in autonomous driving and robotics, which aims to effectively recognize …
broad applications in autonomous driving and robotics, which aims to effectively recognize …
MonoMAE: Enhancing Monocular 3D Detection through Depth-Aware Masked Autoencoders
Monocular 3D object detection aims for precise 3D localization and identification of objects
from a single-view image. Despite its recent progress, it often struggles while handling …
from a single-view image. Despite its recent progress, it often struggles while handling …
BEAT: Balanced Frequency Adaptive Tuning for Long-Term Time-Series Forecasting
Time-series forecasting is crucial for numerous real-world applications including weather
prediction and financial market modeling. While temporal-domain methods remain …
prediction and financial market modeling. While temporal-domain methods remain …
Training an Open-Vocabulary Monocular 3D Detection Model without 3D Data
Open-vocabulary 3D object detection has recently attracted considerable attention due to its
broad applications in autonomous driving and robotics, which aims to effectively recognize …
broad applications in autonomous driving and robotics, which aims to effectively recognize …