Search
Search Results
-
Bff: Bi-stream feature fusion for object detection in hazy environment
In hazy environments, the computer vision system may require to perform object detection. The performance of the object detection methods degrades in...
-
Dual-stream encoded fusion saliency detection based on RGB and grayscale images
Existing saliency algorithms based on deep learning are not sufficient to extract features of images. And the features are fused only during...
-
Modular dual-stream visual fusion network for visual question answering
Object detection networks’ extracted region features have been pivotal in visual question answering (VQA) advancements. However, lacking global...
-
Dual-stream GNN fusion network for hyperspectral classification
Semi-supervised Graph Neural Networks (GNNs), as an effective data representation learning framework, have been applied to hyperspectral image (HSI)...
-
A Multi-Stream Fusion Network for Image Splicing Localization
In this paper, we address the problem of image splicing localization with a multi-stream network architecture that processes the raw RGB image in...
-
Two-stream fusion model using 3D-CNN and 2D-CNN via video-frames and optical flow motion templates for hand gesture recognition
Hand gestures are useful tools for many applications in the human-computer interaction community. Here, the objective is to track the movement of the...
-
Fast datalog evaluation for batch and stream graph processing
Implementing complex algorithms for big data, artificial intelligence, and graph processing requires enormous effort. Succinct, declarative programs...
-
DeepFTSG: Multi-stream Asymmetric USE-Net Trellis Encoders with Shared Decoder Feature Fusion Architecture for Video Motion Segmentation
Discriminating salient moving objects against complex, cluttered backgrounds, with occlusions and challenging environmental conditions like weather...
-
A Multi-stream Fusion Network for Multi-task Image Restoration
Image contains a lot of effective information. However, due to the limitation of image acquisition technology and the interference of acquisition...
-
Multi-stream Convolutional Neural Networks Fusion for Palmprint Recognition
In recent years, researchers have carried out palmprint recognition study based on deep learning, and proposed a variety of methods based on deep...
-
DualMLP: a two-stream fusion model for 3D point cloud classification
In this paper, we present DualMLP, a novel 3D model that introduces the idea of a two-stream network for existing 3D models to handle the trade-off...
-
Using two-stream EfficientNet-BiLSTM network for multiclass classification of disturbing YouTube videos
YouTube video recommendation algorithm plays an important role in enhancing user engagement and profitability (or monetization), yet it struggles to...
-
Gesture Recognition with Keypoint and Radar Stream Fusion for Automated Vehicles
We present a joint camera and radar approach to enable autonomous vehicles to understand and react to human gestures in everyday traffic. Initially,...
-
Two-stream graph convolutional neural network fusion for weakly supervised temporal action detection
Weakly supervised temporal action detection is an important and challenging task, which is to detect temporal intervals of actions and identify...
-
Multi-stream ternary enhanced graph convolutional network for skeleton-based action recognition
A novel mechanism for skeleton-based action recognition is proposed in this paper by enhancing and fusing diverse skeleton features from distinct...
-
Skeleton-based action recognition with multi-stream, multi-scale dilated spatial-temporal graph convolution network
Action recognition techniques based on skeleton data are receiving more and more attention in the field of computer vision due to their ability to...
-
Unsupervised video-based action recognition using two-stream generative adversarial network
Video-based action recognition faces many challenges, such as complex and varied dynamic motion, spatio-temporal similar action factors, and manual...
-
Two-stream network with viewport selection for blind omnidirectional video quality assessment
In omnidirectional images or videos, the viewer receives an interactive and immersive experience from the viewport by changing the viewing angle. Due...
-
Dual-stream network with cross-layer attention and similarity constraint for micro-expression recognition
Micro-expression recognition (MER) is a pivotal research area within human emotion analysis. However, the fleeting, subtle, and complex nature of...
-
Dual-Stream CoAtNet models for accurate breast ultrasound image segmentation
The CoAtNet deep neural model has been shown to achieve state-of-the-art performance by stacking convolutional and self-attention layers. In...
