Abstract: Embodiments of the present disclosure relate to fine-tuning a neural network model using a weight-decomposed low-rank adaptation (DoRA). DoRA reduces the number of parameters that are fine-tuned, thereby reducing memory and the time needed to fine-tune the parameters. the Pre-trained weights are decomposed into two components, magnitude and direction, which are separately fine-tuned. The magnitude components are fine-tuned while the direction components remain unchanged (frozen). Then low-rank adaptation (LoRA) is used to fine-tune the direction components, efficiently minimizing the number of trainable parameters. Compared with using LoRA to fine-tune the weights directly, using DoRA exhibits a closer resemblance to full fine-tuning's learning behavior and improves upon LoRA in commonsense reasoning and visual instruction tuning tasks. By employing DoRA, both the learning capacity and training stability of LoRA is enhanced.

Abstract: The invention relates to a computer implemented method and system for analyzing a video. The method comprises the steps of receiving, via a receiving module, data of the video comprising a series of images showing the subject; extracting, via an extracting module, features related to the subject from the video, the extracting step comprising: extracting, via a first extracting module, a first feature comprises one or more visual characteristics from one or more images of the series of images comprising the video; and extracting, via a second extracting module, a second feature comprises one or more spatial and/or temporal characteristics from the video; and processing, via an analyzing module, the extracted features to determine a score as a scalar representative of an engagement level of the subject.

Abstract: An electronic device includes a display interface with a first display area and a second display area, a memory and a processor. The memory stores at least one instruction. The processor is coupled to the memory. After loading the program instruction, the processor performs: accessing an image record file with a plurality of original frames; simultaneously displaying the original frames in the first display area and the second display area according to an original scale; detecting whether a first object exists in the image record file; and when the first object is detected in the image record file, displaying a zoom-in image with the first object in the second display area according to a first magnification scale and displaying the original frame corresponding to the zoom-in image in the first display area according to the original scale, wherein the first magnification scale is greater than the original scale.

Abstract: An electronic device includes a display interface with a first display area and a second display area, a memory and a processor. The memory stores at least one instruction. The processor is coupled to the memory. After loading the program instruction, the processor performs: accessing an image record file with a plurality of original frames; simultaneously displaying the original frames in the first display area and the second display area according to an original scale; detecting whether a first object exists in the image record file; and when the first object is detected in the image record file, displaying a zoom-in image with the first object in the second display area according to a first magnification scale and displaying the original frame corresponding to the zoom-in image in the first display area according to the original scale, wherein the first magnification scale is greater than the original scale.