Towards Perspective-Free Object Counting with Deep Learning
نویسندگان
چکیده
METHOD MAE MSD RODRIGUEZ ET AL. 655.7 697.8 LEMPITSKY ET AL. 493.4 487.1 ZHANG ET AL. 467.0 498.5 IDREES ET AL. 419.5 541.6 ZHANG ET AL. 377.6 509.1 CCNN 488.67 646.68 HYDRA 2S 333.73 425.26 HYDRA 3S 465.73 371.84 The Hydra model uses a pyramid of input patches cropped from the center of the target patch to provide multiscale information to the network. The counting by regression model with deep learning
منابع مشابه
Incorporating Side Information by Adaptive Convolution
Computer vision tasks often have side information available that is helpful to solve the task. For example, for crowd counting, the camera perspective (e.g., camera angle and height) gives a clue about the appearance and scale of people in the scene. While side information has been shown to be useful for counting systems using traditional hand-crafted features, it has not been fully utilized in...
متن کاملImproving Stock Return Forecasting by Deep Learning Algorithm
Improving return forecasting is very important for both investors and researchers in financial markets. In this study we try to aim this object by two new methods. First, instead of using traditional variable, gold prices have been used as predictor and compare the results with Goyal's variables. Second, unlike previous researches new machine learning algorithm called Deep learning (DP) has bee...
متن کاملCounting in the Wild
In this paper we explore the scenario of learning to count multiple instances of objects from images that have been dot-annotated through crowdsourcing. Specifically, we work with a large and challenging image dataset of penguins in the wild, for which tens of thousands of volunteer annotators have placed dots on instances of penguins in tens of thousands of images. The dataset, introduced and ...
متن کاملFighting Fire with Fire: Survey of Strategies for Counteracting The Complexity of Future Networks Management
The evolution of telecommunications systems towards complex 5G networks implies changes on many levels. In this paper, we concentrate on the management landscape of current and future networks, unfolding a vision of advanced analytics and machine learning approaches to mitigate the unavoidable complexity of future networks. We explore proficient Deep Learning mechanisms and Cognitive Frameworks...
متن کاملDeep Learning-Based Man-Made Object Detection from Hyperspectral Data
Hyperspectral sensing, due to its intrinsic ability to capture the spectral responses of depicted materials, provides unique capabilities towards object detection and identification. In this paper, we tackle the problem of man-made object detection from hyperspectral data through a deep learning classification framework. By the effective exploitation of a Convolutional Neural Network we encode ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2016