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Multi-level temporal feature fusion with feature exchange strategy for multiple object tracking
With the deepening of neural network research, object detection has been developed rapidly in recent years, and video object detection methods have...
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FHFN: content and context feature hierarchical fusion networks for multi-focus image fusion
Thanks to many current deep learning-based multi-focus image fusion methods have the defects of over-extracting image local features or neglecting...
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Significant feature suppression and cross-feature fusion networks for fine-grained visual classification
The technique of extracting different distinguishing features by locating different part regions to achieve fine-grained visual classification (FGVC)...
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Multistage feature fusion knowledge distillation
Generally, the recognition performance of lightweight models is often lower than that of large models. Knowledge distillation, by teaching a student...
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Feature correlation fusion and feature selection under adaptive neighborhood group approximation space
In real-world scenarios, features often exhibit dynamic interdependence and interaction. While neighborhood rough sets in feature selection have been...
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Space-time video super-resolution via multi-scale feature interpolation and temporal feature fusion
The goal of Space-Time Video Super-Resolution (STVSR) is to simultaneously increase the spatial resolution and frame rate of low-resolution,...
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FE-YOLO: YOLO ship detection algorithm based on feature fusion and feature enhancement
The technology for detecting maritime targets is crucial for realizing ship intelligence. However, traditional detection algorithms are not ideal due...
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Person Re-Identification Based on Spatial Feature Learning and Multi-Granularity Feature Fusion
In view of the weak ability of the convolutional neural networks to explicitly learn spatial invariance and the probabilistic loss of discriminative...
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Swin-Fusion: Swin-Transformer with Feature Fusion for Human Action Recognition
Human action recognition based on still images is one of the most challenging computer vision tasks. In the past decade, convolutional neural...
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Joint feature fusion hashing for cross-modal retrieval
Cross-modal hashing retrieval maps data from different modalities into a common low-dimensional hash code space, enabling fast and efficient...
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Transmission-guided multi-feature fusion Dehaze network
Image dehazing is an important direction of low-level visual tasks, and its quality and efficiency directly affect the quality of high-level visual...
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Unsupervised feature selection via multiple graph fusion and feature weight learning
Unsupervised feature selection attempts to select a small number of discriminative features from original high-dimensional data and preserve the...
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A duplex transform heterogeneous feature fusion network for road segmentation
Detecting roads in automatic driving environments poses a challenge due to issues such as boundary fuzziness, occlusion, and glare from light. We...
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A dual-encoder network based on multi-layer feature fusion for infrared and visible image fusion
Infrared and visible image fusion (IVIF) is to achieve the fused images with multimodal complementary information of source images. To effectively...
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A robust feature matching algorithm based on adaptive feature fusion combined with image superresolution reconstruction
With the development of image feature matching technology, feature matching algorithms based on deep learning have achieved excellent results, but in...
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Triple fusion and feature pyramid decoder for RGB-D semantic segmentation
Current RGB-D semantic segmentation networks incorporate depth information as an extra modality and merge RGB and depth features using methods such...
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FESSD:SSD target detection based on feature fusion and feature enhancement
In recent years, significant breakthroughs have been made in target detection. However, although the existing two-stage target detection algorithm...
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Attentional multi-feature fusion for spoofing-aware speaker verification
The Spoofing-Aware Speaker Verification (SASV) system is designed to protect automatic speaker verification (ASV) systems from potential speech...
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Gated weighted normative feature fusion for multispectral object detection
Multispectral image pairs can provide independent and complementary information to more comprehensively describe detection targets, thereby improving...
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Underwater target recognition based on adaptive multi-feature fusion network
Due to the complexity of the underwater environment, underwater acoustic target recognition is more challenging than ordinary target recognition, and...
