26 citations · 83 across the 30 of their papers we have counts for
11 papers · 1 filter
How Powerful Potential of Attention on Image Restoration?
Cong Wang, Jinshan Pan, Yeying Jin +5
Transformers have demonstrated their effectiveness in image restoration tasks. Existing Transformer architectures typically comprise two essential components: multi-head self-atten…
TextBlockV2: Towards Precise-Detection-Free Scene Text Spotting with Pre-trained Language Model
Jiahao Lyu, Jin Wei, Gangyan Zeng +4
Existing scene text spotters are designed to locate and transcribe texts from images. However, it is challenging for a spotter to achieve precise detection and recognition of scene…
Polyp-DAM: Polyp segmentation via depth anything model
Zhuoran Zheng, Chen Wu, Wei Wang +2
Recently, large models (Segment Anything model) came on the scene to provide a new baseline for polyp segmentation tasks. This demonstrates that large models with a sufficient imag…
Hybrid Pooling and Convolutional Network for Improving Accuracy and Training Convergence Speed in Object Detection
Shiwen Zhao, Wei Wang, Junhui Hou +1
This paper introduces HPC-Net, a high-precision and rapidly convergent object detection network.
Is It Possible to Backdoor Face Forgery Detection with Natural Triggers?
Xiaoxuan Han, Songlin Yang, Wei Wang +2
Deep neural networks have significantly improved the performance of face forgery detection models in discriminating Artificial Intelligent Generated Content (AIGC). However, their…
Robust Backdoor Attacks on Object Detection in Real World
Yaguan Qian, Boyuan Ji, Shuke He +4
Deep learning models are widely deployed in many applications, such as object detection in various security fields. However, these models are vulnerable to backdoor attacks. Most b…