In the object detection task, directly predicting the size and center position of the bounding box may lead to too large a space of the solution, which makes it difficult for the model to converge ...

3 Cloudemy Technology Labs, Chandigarh, India. This paper proposes a novel model fusion approach to enhance predictive capabilities of vision and language models by strategically integrating object ...

2016) to introduce a lightweight SSD detection model. This model is tailored for effecting object detection within infrared images ... Three kinds of squeezenet1_0 network structure diagram. On the ...

Abstract: In view of the lack of feature complementarity between the feature layers of Single Shot MultiBox Detector (SSD ... network structure. Finally, a residual block is established before the ...

FIGURE 5. Schematic diagram of PAFPN. On this basis, referring to the original structure of the FCOS object detection model. After the feature fusion of Neck in FCOS, five feature layers are sent to ...

(The multi-class traning is not well tuned and will slightly deteriote the performance of model with single class training ... features in the backbone network to be aware of the object structure. The ...

Creating a fine-tuned object detection system using MobileNet SSD and Flask involves ... Train the model on your dataset. Save the fine-tuned model. Creating a Flask Web Application: Set up a Flask ...