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

In the realm of computer vision, Deep Convolutional Neural Networks (DCNNs) have
demonstrated excellent performance. Video Processing, Object Detection, Image …

There is a rapidly growing number of large language models (LLMs) that users can query for
a fee. We review the cost associated with querying popular LLM APIs, eg GPT-4, ChatGPT …

Wire and arc additive manufacturing (WAAM) is an emerging manufacturing technology that
is widely used in different manufacturing industries. To achieve fully automated production …

Detecting objects and estimating their viewpoints in images are key tasks of 3D scene
understanding. Recent approaches have achieved excellent results on very large …

Object detection is one of the most important and challenging branches of computer vision,
which has been widely applied in people's life, such as monitoring security, autonomous …

Object detection, as of one the most fundamental and challenging problems in computer
vision, has received great attention in recent years. Over the past two decades, we have …

Deep-learning methods have recently started being employed for addressing surface-defect
detection problems in industrial quality control. However, with a large amount of data …

Weakly supervised object localization (WSOL) is a challenging problem when given image
category labels but requires to learn object localization models. Optimizing a convolutional …

Conventional training of a deep CNN based object detector demands a large number of
bounding box annotations, which may be unavailable for rare categories. In this work we …