In the past decade, convolutional neural networks (CNNs) have been widely adopted as the
main building block for end-to-end audio classification models, which aim to learn a direct …

This paper reports on the NTIRE 2022 challenge on perceptual image quality assessment (IQA),
held in conjunction with the New Trends in Image Restoration and Enhancement …

Recent efforts have shown promising results for person re-identification by designing part-based
architectures to allow a neural network to learn discriminative representations from …

Abstract Knowledge distillation has been applied to image classification successfully. However,
object detection is much more sophisticated and most knowledge distillation methods …

Recently, neural networks based purely on self-attention, such as the Vision Transformer (ViT),
have been shown to outperform deep learning models constructed with convolutional …

No-Reference Image Quality Assessment (NR-IQA) aims to assess the perceptual quality of
images in accordance with human subjective perception. Unfortunately, existing NR-IQA …

The effects of organic manure and chemical fertilizer on total soil organic carbon (C T ),
water-soluble organic C (C WS ), microbial biomass C (C MB ), labile C (C L ), C mineralization, …

A fiber-optic curvature sensor based on the single-mode-multimode-single-mode (SMS)
fiber structure is developed. Several notches in the transmitted spectrum of the SMS fiber …

Audio tagging is an active research area and has a wide range of applications. Since the
release of AudioSet, great progress has been made in advancing model performance, which …

In this paper, we first extend the recent Masked Auto-Encoder (MAE) model from a single
modality to audio-visual multi-modalities. Subsequently, we propose the Contrastive Audio-…