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Official implementation of CrossViT.https://arxiv.org/abs/2103.14899 computer-visiondeep-learningmulti-scale-featuresvision-transformer UpdatedJan 12, 2022 Python CVPR2020, Multi-scale Interactive Network for Salient Object Detection experimentalpapersaliency-mapsaliencysalient-object-detectionsaliency-detection...
Nelson, R.C. and Selinger, A. 1998. Large-scale tests of a keyed, appearance-based 3-D object recognition system.Vision Research, 38(15):2469–2488. Pope, A.R. and Lowe, D.G. 2000. Probabilistic models of appearance for 3-D object recognition. International Journal of Computer Vision,...
Lindeberg, T. 1993. Detecting salient blob-like image structures and their scales with a scale-space primal sketch: A method for focus-of-attention. International Journal of Computer Vision, 11(3):283–318. Lindeberg, T. 1994. Scale-space theory: A basic tool for analysing structures at dif...
@inproceedings{jo2024dhr, title={DHR: Dual Features-Driven Hierarchical Rebalancing in Inter- and Intra-Class Regions for Weakly-Supervised Semantic Segmentation}, author={Sanghyun Jo and Fei Pan and In-Jae Yu and Kyungsu Kim}, booktitle={European Conference on Computer Vision (ECCV)}, year=...
The integration of computer-aided design (CAD), computer-aided process planning (CAPP), and computer-aided manufacturing (CAM) systems is significantly enhanced by employing deep learning-based automatic feature recognition (AFR) methods. These methods o
若引用文献:Brown M , Lowe D G . Automatic Panoramic Image Stitching using Invariant Features[J]. International Journal of Computer Vision, 2007, 74(1):59-73. 翻译 使用不变特征自动全景图像拼接——http://tongtianta.site/paper/38233
Automatically generate a comprehensive suite of metrics and visualizations to measure model performance against new data and compare model candidates. Reproducible environments Leverage prebuilt, curated conda environments to address a variety of use cases, such as NLP, computer vision, forecasting, graph...
vision.computervision.implementation com.microsoft.azure.cognitiveservices.vision.computervision.models com.azure.communication.callingserver com.azure.communication.callingserver.models.events com.azure.communication.callingserver.models com.azure.ai.textanalytics.models com.azure.ai.textanalytics com.azure.ai....
Computer vision: Identify objects in an object or video. Audio generation: Use synthesized voices to interact with customers. Classification: Label the severity of a customer-reported issue. Task automation: Automatically perform the next step in a workflow as tasks are completed. ...