Abstract: Federated learning (FL) is a distributed machine learning algorithm that enables multiple devices to collaboratively train a global model with data privacy protection. However, in real-world ...
Abstract: This paper aims to enhance the transferability of adversarial samples in targeted attacks, where attack success rates remain comparatively low. To achieve this objective, we propose two ...
Rice straw pulping is a key process in pulp molding (Wang, 2022). The fibrillation of rice straw directly affects the quality of rice straw pulp. A twin-screw crushing device is typically used to ...
Detects a document in various conditions Scanned, photo, rotated, etc. all work Three different stages for training with V3 being the most solid A function 'predict_doc' is ready for use directly in ...
Despite the strength of the Segment Anything Model (SAM), it struggles with generalization issues in open-vocabulary multi-entity segmentation (OVMS). Through empirical and causal analyses, we find ...
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