5 papers
SPP-SCL: Semi-Push-Pull Supervised Contrastive Learning for Image-Text Sentiment Analysis and Beyond
Jiesheng Wu, Shengrong Li
Existing Image-Text Sentiment Analysis (ITSA) methods may suffer from inconsistent intra-modal and inter-modal sentiment relationships. Therefore, we develop a method that balances…
Beyond Single Images: Retrieval Self-Augmented Unsupervised Camouflaged Object Detection
Ji Du, Xin Wang, Fangwei Hao +6
At the core of Camouflaged Object Detection (COD) lies segmenting objects from their highly similar surroundings. Previous efforts navigate this challenge primarily through image-l…
Efficient Star Distillation Attention Network for Lightweight Image Super-Resolution
Fangwei Hao, Ji Du, Desheng Kong +3
In recent years, the performance of lightweight Single-Image Super-Resolution (SISR) has been improved significantly with the application of Convolutional Neural Networks (CNNs) an…
Large coordinate kernel attention network for lightweight image super-resolution
Fangwei Hao, Jiesheng Wu, Haotian Lu +3
The multi-scale receptive field and large kernel attention (LKA) module have been shown to significantly improve performance in the lightweight image super-resolution task. However…
Dilated Strip Attention Network for Image Restoration
Fangwei Hao, Jiesheng Wu, Ji Du +2
Image restoration is a long-standing task that seeks to recover the latent sharp image from its deteriorated counterpart. Due to the robust capacity of self-attention to capture lo…