Surface defect detectionAnomaly detectionFeature distillationAttention-guided moduleHybrid inspection strategyWe propose a anomaly detection algorithm that accurately detects industrial surface defects.We design a detection pipeline combining supervised methods and our anomaly detection algorithm.We open-source a ...
Paper: Multi-scale self-guided attention for medical image segmentationCode: Paper: Hierarchical multi-scale attention for semantic segmentationCode: Paper: Pranet: Parallel reverse attention network for polyp segmentationCode:github.com/DengPingFan/ Paper: Bayesian attention modulesCode:github.com/zhougrou...
However, it faces the challenge that some tasks may require more independent feature representations, and excessive sharing can lead to interference between tasks. To address this issue, we propose a novel Pixel-Attention-Guided Unet (PAG-Unet). PAG-Unet incorporates a Pixel-Attention-Guided Fusion...
In this paper, we propose a light but effective balanced single-shot object detection framework using Cross-context Attention-guided Network (CCAGNet), to drive the model to focus on appealing regions of interest adaptively. CCAGNet consists of three different attention mechanisms, as shown in Fig...
The point cloud, along with the binarized semantic map and saliency map, is then fed into the odometry module for feature learning. To prioritize salient static points for point cloud matching, we propose a saliency-guided odometry loss that utilizes the saliency and binarized semantic maps to ...
HyperTransformer: "HyperTransformer: A Textural and Spectral Feature Fusion Transformer for Pansharpening", CVPR, 2022 (JHU). [Paper][PyTorch] BSRT: "BSRT: Improving Burst Super-Resolution with Swin Transformer and Flow-Guided Deformable Alignment", CVPRW, 2022 (Megvii). [Paper][PyTorch] LBNet...
A visual attention guided unsupervised feature learning for robust vessel delineation in retinal images. Biomed. Signal Process. Control 44, 110–126 (2018). Article Google Scholar Li, Q. et al. A cross-modality learning approach for vessel segmentation in retinal images. IEEE Trans. Med. ...
Stacked Semantics-Guided Attention Model for Fine-Grained Zero-Shot Learning. 5998-6007 Learning Attentional Communication for Multi-Agent Cooperation. 7265-7275 Watch Your Step: Learning Node Embeddings via Graph Attention. 9198-9208 Latent Alignment and Variational Attention. 9735-9747 ...
An edge-guided image interpolation algorithm via directional filtering and data fusion IEEE Trans. Image Process. (2006) ZhangK.et al. Single image super-resolution with non-local means and steering kernel regression IEEE Trans. Image Process. ...
Zhu, Q., Li, J., Yuan, F., et al.: Continuous Sign Language Recognition Based on Motor attention mechanism and frame-level Self-distillation (2024). arXiv:2402.19118 Huang, J., Zhang, X., Sun, Y., et al.: Attention-guided label refinement network for semantic segmentation of very hi...