22 citations · 35 across the 5 of their papers we have counts for
5 papers
Improving Reference-based Distinctive Image Captioning with Contrastive Rewards
Yangjun Mao, Jun Xiao, Dong Zhang +4
Distinctive Image Captioning (DIC) -- generating distinctive captions that describe the unique details of a target image -- has received considerable attention over the last few ye…
Discrepancy-Guided Reconstruction Learning for Image Forgery Detection
Zenan Shi, Haipeng Chen, Long Chen +1
In this paper, we propose a novel image forgery detection paradigm for boosting the model learning capacity on both forgery-sensitive and genuine compact visual patterns. Compared…
Graph Reasoning Transformer for Image Parsing
Dong Zhang, Jinhui Tang, Kwang-Ting Cheng
Capturing the long-range dependencies has empirically proven to be effective on a wide range of computer vision tasks. The progressive advances on this topic have been made through…
Rethinking the Reference-based Distinctive Image Captioning
Yangjun Mao, Long Chen, Zhihong Jiang +4
Distinctive Image Captioning (DIC) -- generating distinctive captions that describe the unique details of a target image -- has received considerable attention over the last few ye…
FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation
Jeffry Wicaksana, Zengqiang Yan, Dong Zhang +4
The purpose of federated learning is to enable multiple clients to jointly train a machine learning model without sharing data. However, the existing methods for training an image…