In panorama understanding, the widely used equirectangular projection (ERP) entails
boundary discontinuity and spatial distortion. It severely deteriorates the conventional CNNs …

Abstract The key to Fine-Grained Sketch Based Image Retrieval (FG-SBIR) is to establish
fine-grained correspondence between sketches and images. Since sketches only consist of …

Sketch-based image retrieval (SBIR) utilizes sketches to search for images containing
similar objects or scenes. Due to the proliferation of touch-screen devices, sketching has …

In recent years, hashing methods have been popular in the large-scale media search for low
storage and strong representation capabilities. To describe objects with similar overall …

In recent years, the metaverse has sparked an increasing interest across the globe and is
projected to reach a market size of more than\1000B by 2030. This is due to its many …

Since the advent of social media platforms, image selection based on social preference is a
challenging task that all users inherently undertake before sharing images with the public. In …

Sketch image retrieval is an important branch of the image retrieval field, mainly relying on
sketch images as queries for content search. The acquisition process of sketch images is …

Cross-modal retrieval aims to address heterogeneity and cross-modal semantic
associations between multimedia data of different modalities. Image-text retrieval is a key …

Fine-grained image retrieval (FGIR) is to learn visual representations that distinguish
visually similar objects while maintaining generalization. Existing methods propose to …

摇The goal of instance 鄄level sketch 鄄based image retrieval is to retrieve images by
sketches. There is a significant modality gap and feature misalignment issue between …