Grape leaf diseases seriously affect grape yield and directly lead to the loss of the industrial
economy. An accurate diagnosis is crucial for effective spraying and control. Presently, the …

Foreground object search (FOS) aims to find compatible foreground objects for a given
background image, producing realistic composite image. We observe that competitive …

Visual metaphors are a powerful and effective way of communication in advertising, news
and art. By taking objects out of their natural context, artists create new and surprising …

Compositing-aware object search aims to find the most compatible objects for compositing
given a background image and a query bounding box. Previous works focus on learning …

Image composition involves the placement of foreground objects at an appropriate scale
within a background image to create a visually realistic composite image. However, manual …

This paper proposes a knowledge distillation method for foreground object search (FoS).
Given a background and a rectangle specifying the foreground location and scale, FoS …

Foreground image retrieval is a fundamental task in computer vision. Given an image of the
background scene with a bounding box indicating the target location, the goal is to retrieve a …

In this paper, we present an approach, namely Lexical Semantic Image Completion (LSIC),
that may have potential applications in art, design, and heritage conservation, among …

In this document, we provide additional materials to supplement our main text. We will first
provide more details of our Foreground Object Search (FOS) datasets and the …