With the advancement of image processing and computer vision technology, content-based
product search is applied in a wide variety of common tasks, such as online shop** …

Diabetic retinopathy (DR) is one of the main causes of loss of vision and blindness in
humans across the world. DR is usually found in patients suffering from diabetes for a long …

Text-based image captioning (TextCap) aims to remedy the shortcomings of existing image
captioning tasks that ignore text content when describing images. Instead, it requires models …

Urban land use on a building instance level is crucial geo-information for many applications
yet challenging to obtain. Steet-level images are highly suited to predict building functions …

Object detection has become a crucial technology in intelligent vision systems, enabling
automatic detection of target objects. While most detectors perform well on open datasets …

Computer vision is the science that aims to enable computers to emulate human visual
perception, and it encompasses various techniques and methods for extracting and …

Activated hidden units in convolutional neural networks (CNNs), known as feature maps,
dominate image representation, which is compact and discriminative. For ultra-large …

Multi-view stereo reconstruction aims to construct 3D scenes from multiple 2D images. In
recent years, learning-based multi-view stereo methods have achieved significant results in …

Adversarial robustness has attracted extensive studies in various fields by increasing the
interpretability of deep learning and enhancing the understanding of neural network models …

In this paper, we aim to achieve effective image representation for image retrieval in an
unsupervised manner. To this end, we propose a fully cross-dimensional weighting pooling …