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Unsupervised cross-domain road scene segmentation has attracted substantial interest because of its capability to perform segmentation on new and unlabeled domains, thereby reducing the dependence on expensive manual annotations. This is achieved ...

• Use category textual semantics for source-target domain alignment, enhancing feature representation.
• Apply AdaIN with Momentum to align high-dimensional image features, reducing source domain overfitting.
• Implement self-training ...

Unsupervised cross domain semantic segmentation recently has gained much attention, due to its powerful ability of solving the segmentation problem on unlabeled domains. Traditional methods often employ an adversarial network to confuse the ...

• A Mutual Refinement module is proposed to interact information for cross domain semantic segmentation.
• An Information Distillation module is employed to simplify the inference network with performance maintenance.
• Curriculum ...

With the increasing utilization of cameras and three-dimensional Light Detection and Ranging (LiDAR) systems in perception tasks, the fusion of these two sensor modalities has emerged as a prominent research focus in the fields of robotics and unmanned ...

We introduce a hierarchical coarse-to-fine registration network named HR-Net for point cloud registration. Our method incorporates the features of different layers and predicts the rigid transformation without using RANSAC in a coarse-to-fine ...

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• A fine correspondence network is presented to refine the coarse transformation
• We directly predict the transformation without RANSAC by a coarse-to-fine strategy
• Our approach shows competitive performance on both the 3DMatch and ...

For the specific environment, we propose a specific lidar odometry system optimized with ground and road edges, GR-LO, for unmanned ground vehicle (UGV) navigation in the Global Positioning System (GPS) coordinate system. Many high-...

Correlation filter based on deep neural network is a kind of mainstream method for real-time object tracking. It combines the high efficiency of correlation filtering and the great representation ability of convolutional neural network. However, this ...

Receiving growing attention for its various applications during the last few years, multi-object tracking remains a complex and challenging problem. Conventional grid-based tracking method is an efficient and effective method to tackle multi-...

Most existing gait recognition approaches adopt a two-step procedure: a preprocessing step to extract silhouettes or skeletons followed by recognition. In this paper, we propose an end-to-end model-based gait recognition method. Specifically, we ...

In this paper, we propose an Inverse Depth Line (IDL) model of LiDAR data for traversable region segmentation. This model first organizes the disordered point cloud with a 2D structure array to store and index the point cloud. Then, IDL is deduced based ...

Road region detection is a hot spot research topic in autonomous driving field. It requires to give consideration to accuracy, efficiency as well as prime cost. In that, we choose millimeter-wave (MMW) Radar to fulfill road detection task, and put ...

In this paper, we will investigate the contribution of color names for the task of salient object detection. An input image is first converted to color name space, which is consisted of 11 probabilistic channels. By exploiting a surroundedness cue,...

Existing approaches to gait-based human age estimation seldom consider variations such as carried objects, which greatly alter appearance of gait features (e.g., gait energy images) and result in poor age estimation results. Therefore, we propose a method ...

In this paper, we present an end-to-end trainable single shot text detector (SSTD) which can deal with arbitrary oriented texts in natural images. The SSTD detects texts in a single forward pass without any post-processing except for a simple non-...

Road detection is a basic task in automated driving field. In existing methods, detecting lane marks is a frequently used approach. However, road marks could fade with time, or even do not exist on some roads. Considering these factors,...

Human age estimation from gait is expected to be an important technology for a variety of applications such as automatic customer counting for marketing research or automatic age-based access control restriction for a specific area because the gait can ...

In this paper, we will address the issue of detecting small target in a color image from the perspectives of both stability and saliency. First, we consider small target detection as a stable region extraction problem. Several stability criteria are ...

Most of the color based road detection methods use a lower-center region as a "safe" road reference to construct appearance models for the road. However, its utility critically relies on the pose of vehicles. In case of involving non-road pixels, color ...

This paper develops a collaborative representation reconstruction based projections (CRRP) method for dimension reduction. Collaborative representation based classification (CRC) is much faster than sparse representation based classification (SRC) while ...

This paper proposes a novel part-based character recognition method for a new topic of RMB (renminbi bank note, the paper currency used in China) serial number recognition, which is important for reducing financial crime and improving financial market ...

The study of RMB (renminbi bank note, the paper currency used in China) serial number recognition draws more and more attention in recent years, for reducing financial crime, improving financial market stability and social security. The accuracy of RMB ...