As an emerging and challenging problem in the computer vision community, weakly
supervised object localization and detection plays an important role for develo** new …

Automated fiber placement (AFP) is a composite manufacturing technique used to fabricate
complex advanced air vehicle structures that are lightweight with superior qualities. The AFP …

Fine-grained image analysis (FGIA) is a longstanding and fundamental problem in computer
vision and pattern recognition, and underpins a diverse set of real-world applications. The …

Unsupervised localization and segmentation are long-standing computer vision challenges
that involve decomposing an image into semantically-meaningful segments without any …

While class activation map (CAM) generated by image classification network has been
widely used for weakly supervised object localization (WSOL) and semantic segmentation …

Localizing objects in image collections without supervision can help to avoid expensive
annotation campaigns. We propose a simple approach to this problem, that leverages the …

Instance segmentation is a fundamental vision task that aims to recognize and segment
each object in an image. However, it requires costly annotations such as bounding boxes …

In this article, we conduct a comprehensive study on the co-salient object detection (CoSOD)
problem for images. CoSOD is an emerging and rapidly growing extension of salient object …

In this paper, we describe a graph-based algorithm that uses the features obtained by a self-
supervised transformer to detect and segment salient objects in images and videos. With this …

Weakly supervised object localization (WSOL) aims to localize objects by only utilizing
image-level labels. Class activation maps (CAMs) are the commonly used features to …