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2 results about "Scale variation" patented technology

Secure two-party data comparison method and apparatus based on scale transformation

Provided are a secure two-party data comparison method and apparatus based on scale transformation. The method includes: transmitting, by a computation requesting party, a two-party data comparison request to two participant nodes; performing, by each participant node, scale transformation and linear scaling on private data locally after receiving the two-party data comparison request, to obtain an encrypted vector; determining, by each participant node, a real number locally using a secure two-party dot product protocol based on the local encrypted vector, and sharing the real number with the other participant node; determining, by each participant node, a comparison sign based on the obtained real number and transmitting the comparison sign to the computation requesting party; and determining, by the computation requesting party, a comparison result of the private data of the two participant nodes based on the comparison signs transmitted by the two participant nodes.
Owner:BEIHANG UNIV

A small target detection system and method based on context awareness and multi-scale feature fusion

This invention discloses a small target detection system and method based on context awareness and multi-scale feature fusion. This invention effectively improves the detection accuracy and robustness of small targets in complex scenes, significantly mitigating the false negatives and missed detections caused by weak features, background interference, and scale variations in traditional methods. By enhancing the global semantic consistency of features and suppressing noise, the boundaries and texture details of small targets are clearly preserved. Simultaneously, it overcomes the geometric misalignment and feature dilution phenomena in multi-scale fusion, achieving precise alignment and adaptive fusion of cross-layer features. Ultimately, while maintaining detection sensitivity, it reduces the computational burden and improves the system's practicality and stability in real-world scenarios.
Owner:BEIJING INST OF TECH