Artificial intelligence (AI) and deep learning (DL) have shown tremendous potential in
driving sustainability across various sectors. This paper reviews recent advancements in AI …

Conservation of biodiversity is critical for the coexistence of humans and the sustenance of
other living organisms within the ecosystem. Identification and prioritization of specific …

The habitats of marine life, characteristics of species, and the diverse mix of maritime
industries around these habitats are of interest to many researchers, authorities, and …

Long-term monitoring of wildlife numbers traditionally uses observers, which are frequently
inefficient and inaccurate due to their variable experience/training, are costly and difficult to …

We address the task of automatically detecting and counting seabirds in unmanned aerial
vehicle (UAV) imagery using deep convolutional neural networks (CNNs). Our study area …

Population monitoring of colonial seabirds is often complicated by the large size of colonies,
remote locations, and close inter-and intra-species aggregation. While drones have been …

With the technological progress of human beings, more and more animal and bird species
are being endangered and sometimes even going to the verge of extinction. However, the …

Simple Summary Zoos use automated systems to study animal behavior. These systems
need to be able to identify animals from different cameras. This can be challenging, as …

Object detection for sky surveillance is a challenging problem due to having small objects in
a large volume and a constantly changing background which requires high resolution …

Advances in visual perceptual tasks have been mainly driven by the amount, and types, of
annotations of large-scale datasets. Researchers have focused on fully-supervised settings …