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Found 2 thsd. answers for 'strategy bad image removal'.

Attentive Generative Adversarial Network for Raindrop Removal
The prob-lem gets worse when the raindrops are relatively large and distributed densely across the The strategy of a local discriminator is particularly useful if we know the regions that are likely to be Single image haze removal using dark channel prior. IEEE transactions on pat-tern analysis and...

https://arxiv.org/pdf/1711.10098

Local Activity-tuned Image Filtering for
depth image’s discontinuities, so it has the worst. performance on boundary regions as compared For clip-art compression artifact removal and image smoothness, we compare our method with TV The local activity-tuned strategy can be applied into other schemes, which will be explored in our...

https://arxiv.org/pdf/1707.02637

Understanding shadows from a single image sponta
Meanwhile, removing the presence of shadows (i.e., shadow removal) in images is of great interest for the downstream computer vision tasks, such It is worth noting that the two targets: shadow mask in detection and shadow-free image in shadow removal, share a fundamental characteristic essentially.

https://arxiv.org/pdf/1712.02478

Image Smoothing via Unsupervised Learning
The texture removal task we consider here aims at removing the fine-scale repetitive patterns from primary image structures. 14. A partial failure case of texture-removal. Our algorithm doesn’t succeed in extracting some detailed textures perfectly such as the eyes of the two smaller fishes.

https://arxiv.org/pdf/1811.02804

DeshadowNet: A Multi-context Embedding Deep Network for Shadow...
Shadow removal is a challenging task as it requires the detection/annotation of shadows as well as semantic under-standing of the scene. In this paper, we propose an auto-matic and end-to-end deep neural network (DeshadowNet) to tackle these problems in a unied manner.

https://www.cs.cityu.edu.hk/~rynson/papers/cvpr17a.pdf

Bad Strategy
Good Strategy, Bad Strategy. SC&H Nonprofit Summit. • Strategic Plan – defining strategy or direction and making decisions to allocate resources to pursue that strategy. • Operating Plan – a detailed plan which provides a clear picture of how key areas contribute to the achievement of...

https://www.schgroup.com/wp-content/uploads/2015/06/Good-Strategy-Bad-Strategy-Ann-Quinn.pdf

The perils | Bad strategic objectives
Bad strategy abounds, says UCLA management professor Richard Rumelt. Senior executives who can spot it stand a much better chance of creating good Instead, they espouse what I call “bad strategy.” Bad strategy ignores the power of choice and focus, trying instead to accommo-date a multitude of...

http://corporateplanningresources.com/pdfs/McKinsey-Quarterly-The-Perils-of-Bad%20Strategy-2011.pdf

Image Repair Strategies, Local News Portrayals and
Image Repair Strategies Used By Duke University. A total of 54 communication pieces contained 61 uses of rhetorical strategy. Let me also say that as painful as these times are, the test of a school is not preventing bad things from ever happening, but in addressing them in an honest and forthright way.

http://crisiscommunication.uga.edu/wp-content/uploads/2016/03/image-repair.pdf

Whole Page Optimization: How Page Elements Interact with the
empirically observe for image removal, then the impact This is a lose-lose proposition—again showing that suppression is by no means a generally revenue enhancing strategy. Moreover, removing images on queries which lack this large skew signicantly hurts revenue and is worse than...

https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/ec181-metrikov.pdf

Predictive Parallelization: Taming Tail Latencies in Web
Parallelizing short-running queries is a bad strategy because they do not benet from paralleliza-tion. Our evaluation compares our proposed predictive paral-lelization strategy with other parallelization strategies that do not predict query execution time to selectively parallelize long-running queries.

https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/paper-16.pdf