3 results about "Modulation transformer" patented technology

The invention discloses a camouflage target detection method and system based on a double-domain fusion enhanced network, and relates to the technical field of target detection. Through the nonlinear double-domain fusion module, in combination with nonlinear mapping of a spatial domain and a frequency domain, key difference characteristics of a frequency domain amplitude spectrum and a phase spectrum are captured, the problem that the detection performance is reduced in a scene of low contrast and the like depending on an RGB spatial domain is solved, and the target discrimination degree is improved; based on a lightweight scale perception modulation converter and a double-feature fusion module, multi-scale features are extracted, aligned and fused, a semantic relation is integrated by means of cross attention, and the problems of detail loss and boundary fuzziness caused by scale diversity are solved; the context feature enhancement module integrates cross attention and edge auxiliary injection, accumulates multi-layer feature integration, gives consideration to a global boundary and a local structure, effectively reduces false detection, missing detection and edge roughness, and further enhances robustness through multi-layer auxiliary supervision.

The application discloses a photovoltaic time sequence anomaly detection method of self-supervised three-domain contrast learning combined with prior modulation Transformer, and comprises the following steps: data preprocessing and window division; three-domain contrast learning and anomaly screening; point-level fine detection of prior modulation Transformer; multi-granularity anomaly fusion and output; the application constructs a multi-stage and hierarchical cooperative detection mechanism to realize accurate positioning of anomalies.

The application discloses a camouflage target detection method and system based on a dual-domain fusion enhanced network, and relates to the technical field of target detection.The application captures key difference features of a frequency domain amplitude spectrum and a phase spectrum by combining spatial domain and frequency domain nonlinear mapping through a nonlinear dual-domain fusion module, solves the problem of performance decline in low-contrast scenes and the like in dependence on an RGB spatial domain, and improves target discrimination;relying on a lightweight scale perception modulation transformer and a dual-feature fusion module, multi-scale features are extracted and aligned and fused, semantic relationships are integrated by cross attention, and the problems of detail loss and boundary blur caused by scale diversity are overcome;an upper and lower context feature enhancement module incorporates cross attention and edge auxiliary injection, accumulates multi-layer feature integration, takes into account global boundaries and local structures, effectively reduces false positives and false negatives and edge roughness, and multi-layer auxiliary supervision further strengthens robustness.