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EffiPerception: an Efficient Framework for Various Perception Tasks
The accuracy-speed-memory trade-off is always the priority to consider for several computer vision perception tasks.
The Importance of Architecture Choice in Deep Learning for Climate Applications
Machine Learning has become a pervasive tool in climate science applications.
3DifFusionDet: Diffusion Model for 3D Object Detection with Robust LiDAR-Camera Fusion
We propose the 3DifFusionDet framework in this paper, which structures 3D object detection as a denoising diffusion process from noisy 3D boxes to target boxes.
Evaluating the Impact of Loss Function Variation in Deep Learning for Classification
The loss function is arguably among the most important hyperparameters for a neural network.
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