ICCCV

In order to keep the ecological balance of grassland and get the number of grazing livestock accurately, an improved livestock detection algorithm based on full convolutional neural network is proposed. First, MultiResUNet is proposed for image ...

Face detection has been made insufficient progress in the VR games field, due to the lack of database of VR games. In available technology of face detection, specifically for the uncovered facial occlusion, mainly relies on the eyes features to detect ...

In this paper, we propose and evaluate a novel object detection architecture called Cascaded Multi-Channel Feature Pyramid Network, or CM-FPN. The proposed network, which is based on Feature Pyramid Network by Lin et al., employs multi-stage cascaded ...

In order to reduce the time consuming and expensive process of manually annotating data, and achieve the purpose of lightweight deployment. In this paper, an object detection method for weakly supervised learning with discrimination mechanism is ...

Faster R-CNN is a popular method in object detection applications. Based on Faster R-CNN, this paper proposes a facial feature enhancement method similar to the attention mechanism, and gets an improved model Face R-CNN. Face R-CNN combines with the ...

Leukemia is one of the dangerous diseases causing the death of people. Based on our literature review, numerous methods have been utilized for leukemia detection with various performances. Therefore, this research aims to employ the three channels for ...

Deeplabv3+ [11] proposed by Google Inc. is a Semantic Segmentation model after deeplabv3 [10]. Deeplabv3+, which creatively added the decoder structure with the previous version as an encoder part to enhance the ability of the model to recover spatial ...

Weeding is an effective method to improve crop yields. In precision agriculture, accurate and reliable weed identification methods provide the basis for achieving high-precision weed position control. This paper proposes a field weed and crop ...

As the first two steps of face recognition system, face detection and key point location are of great significance to the accuracy of face recognition system. The Multi-task Cascaded Convolutional Network(MTCNN) uses a single network model for the first ...

This paper presents a flexible module that utilizes the 3D position attention mechanism to extract contextual features from local regions of point cloud. The key point is to create an effective representation of local features. Due to the irregularity ...

Segmentation of cell images has been widely explored in medical image analysis and clinical aided diagnoses. Instance segmentation technology, which can detect and distinguish each cell object has been a hot topic in recent years. However, the complex ...

Face recognition has attracted wide attention in recent years. The major issue in face recognition is to improve the robustness under various modalities, such as different illuminations, poses, or backgrounds. Due to the rapid development of deep ...

In order to meet most viewers desire for realizing “a visit from a long distance” and accomplish the breakthrough of limitations in traditional cultural relics display, the carved stone generals in Ming Xiaoling Mausoleum are taken as the subject of ...

In this paper, we propose an imitation learning method based on the optimization of the dynamic movement primitives (DMPs). The DMPs framework is one of the common methods of imitation learning because of its adaptability in time and space. On the basis ...

Loop-closure detection is a significant component for autonomous robot SLAM to build a map of the environment. However, the robustness of visual SLAM loop-closure detection in outdoor complex environment is severely restricted by perceptual aliasing, ...

Estimating camera pose is a significant process, which assures the success of the 3D modeling performance. This research presents a camera pose estimation using convolutional neural network (CNN) to transfer learning from pre-trained deep learning VGG19 ...

The development of technology has driven changes in transportation modes. Taxi has also become one of the most important modes of travel in the city, which greatly facilitates people's travel. The taxi industry needs more standardization and ...

In the field of nuclear detection, there is a basic task to identify the category and orientation of radioactive source. The category and orientation depend on the energy spectrum and flood histogram which is the statistic of qualified pulses. In this ...

The inspection and evaluation of electric metering devices play an important role in the power grid, which is concerned with the safety of millions of households and consumes immense manpower. With the rapid development of the smart grid, there are ...

There are millions of ammeters working in China and daily manual inspection of their status consumes immense manpower and material resources. Besides, manual inspection is inevitably affected by factors such as the levels of evaluation skills and ...