|
|
|
|
|
Sicong Liu, Qingcheng Fan, Chunjiang Zhao and Shuqin Li
Animal resources are significant to human survival and development and the ecosystem balance. Automated multi-animal object detection is critical in animal research and conservation and ecosystem monitoring. The objective is to design a model that mitiga...
ver más
|
|
|
|
|
|
|
|
|
|
|
Qingcheng Fan, Sicong Liu, Chunjiang Zhao and Shuqin Li
Feature selection is crucial in classification tasks as it helps to extract relevant information while reducing redundancy. This paper presents a novel method that considers both instance and label correlation. By employing the least squares method, we c...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sicong Liu, Qingcheng Fan, Shanghao Liu, Shuqin Li and Chunjiang Zhao
Macaque monkey is a rare substitute which plays an important role for human beings in relation to psychological and spiritual science research. It is essential for these studies to accurately estimate the pose information of macaque monkeys. Many large-s...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sicong Liu, Qingcheng Fan, Shanghao Liu and Chunjiang Zhao
Animal pose estimation has important value in both theoretical research and practical applications, such as zoology and wildlife conservation. A simple but effective high-resolution Transformer model for animal pose estimation called DepthFormer is provi...
ver más
|
|
|
|
|
|