… band for the object count still fulfils the objective of the counting task, taking advantage of the
… the counting accuracy of the proposed counting methods and baseline against the count of …

… It is a difficult task in the wild: changeable environment, large-… the performance of crowd
counting in the wild: 1) pretrain a … ; 2) propose a crowd counting method via domain adaptation, …

… counting datasets, we introduce the Countix dataset: a real world dataset of repetition videos
collected in the wild … motion, diverse set of periods and counts, and changes in the speed of …

… There are many different approaches for counting … counting as a classification problem
and left more advanced methods for future work. In other words, instead of actually counting …

… is cattle counting. In this paper, we propose a method for detecting and counting cattle in aerial
… animals is a suitable strategy to reduce duplicate counting. We also offer a dataset of real …

… By specifying the limits thoroughly and developing task-dependent approaches, we reveal
the great potential of our framework plant detection and counting in the wild consisting of …

… accuracy reached 92.9, the algorithm accuracy reached 81.2, and the counting time of a …
targets in the wild, this paper developed a fast and accurate head counting system based on …

Model counting is a fundamental problem in automated … Although model counting is
computationally intractable from a … of the scalability of model counters in the wild. To this end, we …

… 10-min segments and estimate the speaker count in each segment, as well as the total
speaker count for the whole period. We show how the speaker count varies with time in Fig. 7. We …

… to formulate the task of maize tassels counting as a typical counting problem, rather than a …
counts, our model outputs a count map similar to the ground-truth density map. The final count …