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Found 5 papers, 4 papers with code
BAMBOO: a predictive and transferable machine learning force field framework for liquid electrolyte development
Despite the widespread applications of machine learning force field (MLFF) on solids and small molecules, there is a notable gap in applying MLFF to complex liquid electrolytes.
Exploring Color Invariance through Image-Level Ensemble Learning
This issue is particularly pronounced in complex wide-area surveillance scenarios, such as person re-identification and industrial dust segmentation, where models often experience a decline in performance due to overfitting on color information during training, given the presence of environmental variations.
DRNet: A Decision-Making Method for Autonomous Lane Changingwith Deep Reinforcement Learning
Machine learning techniques have outperformed numerous rule-based methods for decision-making in autonomous vehicles.
Person Re-identification Method Based on Color Attack and Joint Defence
Finally, a series of experimental results show that the proposed joint adversarial defense method is more competitive than a state-of-the-art methods.
Eliminate Deviation with Deviation for Data Augmentation and a General Multi-modal Data Learning Method
Experiments on several ReID baselines and three common large-scale datasets such as Market1501, DukeMTMC, and MSMT17 have verified the effectiveness of this method.
Ranked #2 on
Person Re-Identification
on Market-1501
(using extra training data)
