This paper reviews the NTIRE 2023 challenge on efficient single-image super-resolution
with a focus on the proposed solutions and results. The aim of this challenge is to devise a …

This paper provides a comprehensive review of the NTIRE 2024 challenge focusing on
efficient single-image super-resolution (ESR) solutions and their outcomes. The task of this …

Unmanned aerial vehicle (UAV) object detection plays a crucial role in civil, commercial, and
military domains. However, the high proportion of small objects in UAV images and the …

Transformer-based approaches have achieved promising performance in image restoration
tasks given their ability to model long-range dependencies which is crucial for recovering …

Transformer is a powerful tool for capturing long-range dependencies and has shown
impressive performance in hyperspectral image (HSI) classification. However, such power …

As an essential component of the new energy vehicle battery, current collectors affect the
performance of battery and are crucial to the safety of passengers. The significant …

For the purpose of monitoring apple fruits effectively throughout the entire growth period in
smart orchards. A lightweight model named YOLOv8n-ShuffleNetv2-Ghost-SE was …

Mamba, an architecture with RNN-like token mixer of state space model (SSM), was recently
introduced to address the quadratic complexity of the attention mechanism and …

As agricultural applications are specialized, plant diseases are diverse, and there is a lack of
agricultural datasets, current plant disease identification performance is inadequate. In this …

Abstract Large Language Models (LLM) have been extensively studied for their ability to
engage in textual dialogue and have shown promising results in various fields. However, the …