Self-training allows a network to learn from the predictions of a more
c...
Wildfire detection using satellite images is a widely studied task in re...
Knowledge distillation, a well-known model compression technique, is an
...
Object detection in remote sensing is a crucial computer vision task tha...
This paper studies a reconstruction-based approach for weakly-supervised...
Anthropogenic activities pose threats to wildlife and marine fauna, prom...
With the current ubiquity of deep learning methods to solve computer vis...
Many variants of the Wasserstein distance have been introduced to reduce...
Despite the popularity of deep neural networks in various domains, the
e...
In this work, we exploit convolutional neural networks (CNNs) for the
cl...
Detection of new infrastructures (commercial, logistics, industrial or
r...
This paper presents an efficient method for texture retrieval using
mult...
The motivation of this paper is to conduct a comparative study on remote...
Morphological attribute profiles (APs) are among the most effective meth...
In this paper, we adapt the Faster-RCNN framework for the detection of
u...
A novel efficient method for content-based image retrieval (CBIR) is
dev...