The mutual transfer of spatiotemporal features is the main challenge for the two-stream
video salient object detection. Current methods adopt the spatiotemporal feature interaction …

Learning-based methods have become popular in co-salient object detection (CoSOD).
However, existing methods suffer from two challenging issues, including mining the inter …

Due to the complexity of electrical components, traditional edge detection methods cannot
always accurately extract key edge features of them. Therefore, this study constructs a …

Precise salient object detection (SOD) in realistic scenarios heavily relies on multi-scale
context. Although existing SOD methods have made significant advancements by …

Object detection algorithms require a large amount of annotated data for training and
optimization, which can be time-consuming, expensive, and limit model robustness and …

The effective aggregation of spatiotemporal information to accommodate real-world complex
scenes is a fundamental issue in video saliency detection. In this paper, we propose a …

Video salient object detection (VSOD) aims to segment the most attractive objects from a
video sequence. Exploring video semantics and suppressing noise objects are two …

Generative adversarial network (GAN) has attracted extensive attention in color constancy
because it allows pixel-wise supervision. However, the misinterpretation of color features …