What Might Soccer Do To Make You Switch

The submitted solution should take the video of a complete soccer game, along with a list of highlights from the game in the form of event annotations, as input. One of the reasons soccer is so popular is that it really only takes a ball and a flat open area to play. Although human pose estimation is one of the longest-lasting topics, and significant performance improvement has been achieved in the past few years, some reported accuracies in these approaches are obtained through several post-processing steps or some strategies used in the dataset challenge. Utilizing real journalistic material poses a challenge in that the articles mix information that can be found directly in the game statistics (e.g., scores and names) with information inferable from the statistics (e.g., statements such as shortly after), information based on background knowledge (e.g., a team’s home city or player’s position), game insight and judgement based on viewing the game (e.g., expressions such as slapshot or tipping the puck describing the character of a shot), and even player interviews. This poses a challenge for automated data-to-text news generation with real-world news corpora as training data. News generation systems-especially those deployed in practice-tend to be based on intricate template filling, aiming to give the users the full control of the generated facts, while maintaining a reasonable variability of the resulting text.

In our initial experiments the generation model learns to “hallucinate” facts, as easily occurs when the target text is too loosely related to the conditioning input.444This observation is also supported by Wiseman et al. 2017) mentioning that their generation model occasionally “hallucinates factual statements” that are plausible but false. Here we follow the COCO keypoints dataset, using 5 metrics to describe the performance of a model. Here OKS is similar to the intersection over union (IoU) in the case of object detection. In the FollowMeUp dataset, the crowding case is rare while most human instances have self-occlusion. And while humans don't really think like computers, which utilize circuits, semi-conductors and magnetic media instead of biological cells to store information, there are some intriguing parallels. The basis of the comparison is that we note that there is no uniform evaluation protocol to measure the performance of existing methods from a view of practical application. Therefore, evaluating a method without any post-processing steps and strategies is more objective and more valuable for the research and practical application. Note that some post-processing strategies, such as multi-scale and flip, are ignored to obtain the actual performance in the real application environments. After detailed analysis, we find that the numbers of predicted effective keypoints of bottom-up methods are around 10 times less than top-down methods as illustrated in Fig. 3. We note that top-down methods correspond to performing single-person pose estimation on each detected human region.

Single-person pose estimation can output all types of keypoints even the keypoint is occluded or truncated. Such reports can be used either as a basis for further post-editing by a journalist imprinting own insights and background information, or even used directly as a news stream labelled as machine-generated. News articles such as sports game reports are often thought to closely follow the underlying game statistics, but in practice they contain a notable amount of background knowledge, interpretation, insight into the game, and quotes that are not present in the official statistics. In order to train such a system, we compile a corpus of news based on over 2000 game reports from the Finnish News Agency STT. In this paper, we report on the development of a news generation system for the Finnish ice hockey news domain, based on sequence-to-sequence methods. Such a system increases interpretability and controllability of the generation, however, recent sequence-to-sequence systems represent the state-of-the-art in data-to-text generation.

In the following, we will introduce the news dataset and the process of its creation, introduce an end-to-end model for news generation, and evaluate its output respective to the abovementioned objectives. Your car will inevitably collect more trash as the trip proceeds, so it's best to start with a clean slate. Conventional wisdom is that prices will stabilize when the sluggish supply chain kicks back into high gear. 먹튀검증 is that player talent comes at different levels. In a penalty shootout one player performs a penalty kick against the opposition’s goalie. For example, performing multi-scale evaluation, refining results by a different method, or precision is evaluated at one image scale while speed is recorded at another scale. To obtain their respective bounding boxes in the image. Symmetric Spatial Transformer Network to handle inaccurate bounding boxes. We also supervise and handle some uncertain cases for workers during annotation. To maintain the quality of annotations, we arranged a number of annotation training classes for all annotation workers to unify the standard of annotation. The annotations are performed by in-house workers and inspected by authors. For some unqualified and incorrect annotations are modified continuously until totally correct.