177 citations · 180 across the 5 of their papers we have counts for
5 papers
Training Protocol Matters: Towards Accurate Scene Text Recognition via Training Protocol Searching
Xiaojie Chu, Yongtao Wang, Chunhua Shen +2
The development of scene text recognition (STR) in the era of deep learning has been mainly focused on novel architectures of STR models. However, training protocol (i.e., settings…
Vision Transformer Hashing for Image Retrieval
Shiv Ram Dubey, Satish Kumar Singh, Wei-Ta Chu
Deep learning has shown a tremendous growth in hashing techniques for image retrieval. Recently, Transformer has emerged as a new architecture by utilizing self-attention without c…
Frequency Disentangled Residual Network
Satya Rajendra Singh, Roshan Reddy Yedla, Shiv Ram Dubey +2
Residual networks (ResNets) have been utilized for various computer vision and image processing applications. The residual connection improves the training of the network with bett…
CBNet: A Composite Backbone Network Architecture for Object Detection
Tingting Liang, Xiaojie Chu, Yudong Liu +5
Modern top-performing object detectors depend heavily on backbone networks, whose advances bring consistent performance gains through exploring more effective network structures. I…
CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes
Hao Huang, Yongtao Wang, Zhaoyu Chen +7
Malicious applications of deepfakes (i.e., technologies generating target facial attributes or entire faces from facial images) have posed a huge threat to individuals' reputation…