Lightweight attentional feature fusion
WebJul 25, 2024 · Development of a Lightweight Crop Disease Image Identification Model Based on Attentional Feature Fusion Authors Zekai Cheng 1 , Meifang Liu 1 , Rong Qian 2 , Rongqing Huang 1 , Wei Dong 2 Affiliations 1 School of Computer Science and Technology, Anhui University of Technology, Ma'anshan 243032, China. WebJan 8, 2024 · Attentional Feature Fusion. Abstract: Feature fusion, the combination of features from different layers or branches, is an omnipresent part of modern network …
Lightweight attentional feature fusion
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WebApr 11, 2024 · For each feature fusion layer, ... used the low-level local features to compensate for the lack of deep feature extraction ability in lightweight FR models, and innovatively proposed an attention mechanism to solve the imbalance of the hierarchical multi-scale features. Based on this structure, a new family of lightweight FR models … WebNov 21, 2024 · A lightweight underwater object detection network based on the YOLOX model called LUO-YOLOX is proposed, aiming to solve the problems of color distortion …
WebCareFusion is a leading manufacturer of medical goods in the healthcare marketplace. CIA Medical offers products from CareFusion, BD and 5,000 other manufacturers. Our … WebApr 14, 2024 · Our proposed approach improves the feature-learning ability of TasselLFANet by adopting a cross-stage fusion strategy that balances the variability of different layers. …
WebNov 21, 2024 · Lightweight Underwater Object Detection Based on YOLO v4 and Multi-Scale Attentional Feature Fusion.pdf Available via license: CC BY 4.0 Content may be subject to … WebJan 8, 2024 · Attentional Feature Fusion Abstract: Feature fusion, the combination of features from different layers or branches, is an omnipresent part of modern network architectures. It is often implemented via simple operations, such as summation or concatenation, but this might not be the best choice.
WebFeb 1, 2024 · In our paper, we propose an efficient channel attention feature fusion method on the lightweight super-resolution network (ELSRN) for SISR. We reduce our network …
WebLightweight Attentional Feature Fusion (LAFF) [6], an attention-based feature fusion method that performs fea-ture fusion at both early and late stages and at both video and text ends. The other is Bidirectional Negation Learning (BNL) [20], a learning based method for training a negation-aware video retrieval model, which is used to handle queries photo maxime chattamWebApr 12, 2024 · ALOFT: A Lightweight MLP-like Architecture with Dynamic Low-frequency Transform for Domain Generalization Jintao Guo · Na Wang · Lei Qi · Yinghuan Shi ... Multi-modal Gait Recognition via Effective Spatial-Temporal Feature Fusion Yufeng Cui · Yimei Kang MotionTrack: Learning Robust Short-term and Long-term Motions for Multi-Object … photo maxime royWebTo solve the above problems, we propose a lightweight dual branches network with the attention modules and the feature fusion module. The backbone networks of dual branches, which have fewer parameters, are used to obtain the detail information and the context information respectively. photo max sizeWebWe propose Lightweight Attentional Feature Fusion (LAFF). LAFF performs feature fusion at both early and late stages and at both video and text ends, making it a powerful method … photo maxime sorelhow does icap workWebApr 14, 2024 · Our proposed approach improves the feature-learning ability of TasselLFANet by adopting a cross-stage fusion strategy that balances the variability of different layers. Additionally, TasselLFANet utilizes multiple receptive fields to capture diverse feature representations, and incorporates an innovative visual channel attention module to ... photo maximizer 5 avisWebCVF Open Access photo matrix sorocaba