Salient object detection (SOD) methods typically consider SOD as a pixel-wise binary
classification problem and utilize the binary cross-entropy (BCE) loss for optimization …

We explore the impact of transformers on accurate and reliable salient object detection. For
accuracy, we integrate the transformer with a deterministic model and delineate its …

With the evolution of 6G technology, mobile edge computing is rapidly advancing as a
crucial application scenario. This research presents an innovative method for vehicle-edge …

Salient object detection aims to identify the most attentive regions of an image, and as an
image processing technology, it is widely used in imaging systems of many consumer …

Efficient monitoring and early warning of hazards on transmission lines are crucial for the
safety of both the lines themselves and the surrounding personnel. Among them, real-time …

Open-vocabulary object detection (OVOD) aims to detect the objects beyond the set of
classes observed during training. This work introduces a straightforward and efficient …

Image summary, an abridged version of the original visual content, can be used to represent
the scene. Thus, tasks such as scene classification, identification, indexing, etc., can be …

By now, many works have been done on shadow removal for image manipulation. As a
result, detecting shadow removal has become a critical part to reveal the traces of image …

Object counting aims to count the accurate number of object instances in images, and its
operation efficiency is essential. However, most current CNN-based methods rely on …

The recent emphasis has been on achieving rapid and precise detection of salient objects,
which presents a challenge for resource-constrained edge devices because the current …