Found 5088 results, showing the newest relevant preprints. Sort by relevancy only.Update me on new preprints

Fast and Flexible Image Blind Denoising via Competition of Experts

We also compare the proposed method with several existing algorithms and observe significant outperformance over prior arts in terms of computational efficiency. Expand abstract.
1 day ago
4/10 relevant
arXiv

Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN

After training on the synthesized and real datasets, our network outperforms other state-of-the-art methods by a large margin. Expand abstract.
1 day ago
4/10 relevant
arXiv

LNDb: A Lung Nodule Database on Computed Tomography

It is shown that state-of-the-art methodologies can determine a patient's follow-up recommendation as accurately as a radiologist, though the nodule detection method used shows decreased performance in this database. Expand abstract.
3 days ago
4/10 relevant
arXiv

Bidding in Smart Grid PDAs: Theory, Analysis and Strategy (Extended Version)

In addition, we benchmark our strategy against the baseline and the state-of-the-art bidding strategies for the PowerTAC wholesale market PDAs, and show that MDPLCPBS outperforms most of them consistently. Expand abstract.
3 days ago
4/10 relevant
arXiv

A Study on various state of the art of the Art Face Recognition System using Deep Learning Techniques

The first part of this review paper basically focuses on deep learning techniques used in face recognition and matching which as improved the accuracy of face recognition technique with training of huge sets of data. Expand abstract.
3 days ago
8/10 relevant
arXiv

Joint Super-Resolution and Alignment of Tiny Faces

As for SR, the proposed method recovers sharper edges and more details from LR face images than other state-of-the-art methods, which we demonstrate qualitatively and quantitatively. Expand abstract.
3 days ago
5/10 relevant
arXiv

Hybrid Composition with IdleBlock: More Efficient Networks for Image Recognition

Similarly, the hybridized EfficientNet-B0 networks are more efficient than previous state-of-the-art networks with similar computation budgets. Expand abstract.
3 days ago
7/10 relevant
arXiv

Bayesian Curiosity for Efficient Exploration in Reinforcement Learning

Balancing exploration and exploitation is a fundamental part of reinforcement learning, yet most state-of-the-art algorithms use a naive exploration protocol like $\epsilon$-greedy. Expand abstract.
3 days ago
5/10 relevant
arXiv

SySCD: A System-Aware Parallel Coordinate Descent Algorithm

Our proposed system-aware parallel coordinate descent algorithm (SySCD) scales to many cores and across numa nodes, and offers a consistent bottom line speedup in training time of up to x12 compared to an optimized asynchronous parallel SCD algorithm and up to x42, compared to state-of-the-art GLM solvers... Expand abstract.
4 days ago
5/10 relevant
arXiv

Inducing Cooperation via Team Regret Minimization based Multi-Agent Deep Reinforcement Learning

How-ever, an issue remains open: in the centralized training process,when the environment for the team is partially observable ornon-stationary, i.e., the observation and action informationof all the agents cannot represent the global states, existingmethods perform poorly and sample inefficiently. Expand abstract.
4 days ago
4/10 relevant
arXiv