Search Results for author:
Found 5 papers, 2 papers with code
Progressive Feedback-Enhanced Transformer for Image Forgery Localization
In this paper, we propose a Progressive FeedbACk-enhanced Transformer (ProFact) network to achieve coarse-to-fine image forgery localization.
Hierarchical RNNs-Based Transformers MADDPG for Mixed Cooperative-Competitive Environments
This paper proposed a hierarchical transformers MADDPG based on RNN which we call it Hierarchical RNNs-Based Transformers MADDPG(HRTMADDPG).
Multi-agent Reinforcement Learning
reinforcement-learning
+1
Resampling detection of recompressed images via dual-stream convolutional neural network
Resampling detection plays an important role in identifying image tampering, such as image splicing.
Acceleration of Histogram-Based Contrast Enhancement via Selective Downsampling
In this paper, we propose a general framework to accelerate the universal histogram-based image contrast enhancement (CE) algorithms.
Contrast Enhancement of Brightness-Distorted Images by Improved Adaptive Gamma Correction
The novel strategy of negative images is used to realize CE of the bright images, and the gamma correction modulated by truncated CDF is employed to enhance the dimmed ones.
