26 citations · 75 across the 13 of their papers we have counts for
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cs.CV2023★ 2 cited
Unified Frequency-Assisted Transformer Framework for Detecting and Grounding Multi-Modal Manipulation
Huan Liu, Zichang Tan, Qiang Chen +3
Detecting and grounding multi-modal media manipulation (DGM^4) has become increasingly crucial due to the widespread dissemination of face forgery and text misinformation. In this…
cs.CV2023
Enhancing Your Trained DETRs with Box Refinement
Yiqun Chen, Qiang Chen, Peize Sun +3
We present a conceptually simple, efficient, and general framework for localization problems in DETR-like models. We add plugins to well-trained models instead of inefficiently des…
cs.CV2023
LSAS: Lightweight Sub-attention Strategy for Alleviating Attention Bias Problem
Shanshan Zhong, Wushao Wen, Jinghui Qin +2
In computer vision, the performance of deep neural networks (DNNs) is highly related to the feature extraction ability, i.e., the ability to recognize and focus on key pixel region…