Tag: feature fusion

A new deep learning network called MTF-Net combines multi-scale transformer attention with cross-branch feature fusion to segment brain tumors from ...

A new contrastive learning framework adapts a speech-trained HuBERT model to unlabeled violin recordings, achieving the best reported correlations with ...

A new lightweight detector, YOLO-FWF, combines Fourier-domain enhancement, wavelet-guided attention and orientation-aware feature fusion to improve scene text detection accuracy ...

A hybrid deep-learning model classified 32 insect species from 4,800 recordings with 99.90% accuracy on the InsectSet32 dataset, but independent ...

A new reinforcement learning method called FA-PPO was the only tested algorithm to complete simulated UAV obstacle-avoidance tasks across three ...

A new dynamic malware detection method fuses sandbox-captured API call sequences with color images converted from out-of-VM memory dumps, reaching ...

A hybrid machine learning framework fusing autoencoder-learned representations with handcrafted texture features achieved approximately 99.85% test accuracy for cervical cancer ...

A sine-guided Transformer–CNN network significantly outperformed 21 comparison methods on three benchmark datasets for salient-object detection in optical remote-sensing imagery.

A PSO-fused model combining text, speech and video representations reached 94.0% accuracy on 690 labeled television-dialogue utterances in the MUStARD ...

A benchmark study found that FBMS-YOLO improved localization of degraded bamboo slip characters, raising DeepJiandu mAP50 from 92.8% to 94.4% ...