Pretrained deep learning models automate tasks, such as image feature extraction, land-cover classification, and object detection, in imagery, point clouds or video.
Selection and Fusion of Color Models for Image Feature Detection The choice of a color model is of great importance for many computer vision algorithms (e.g., feature detection, object recognition, and tracking) as the c... H Stokman,T Gevers - 《IEEE Transactions on Pattern Analysis & Mach...
Turning to the problem settings introduced by deep models, some studies observed unfair phenomenons in deep models: Choi et al. [69] find that generation models amplify data bias, which leads to unfair image generation. Li et al. [74] consider fair issues in deep clustering methods; Xu et ...
计算机视觉特征提取与图像处理 : Feature extraction & image processing for computer vision 2012. Feature extraction & image processing for computer vision, Academic Press.M. Nixon and A. S. Aguado, Feature Extraction & Image Processing for ... 尼克松,阿瓜多杨高波,李实英 - 计算机视觉特征提取与图像处...
Diffusion Models Feature Extraction Linear Probing and Alternatives Experiments Keywords:Diffusion Model, GAN https://arxiv.org/abs/2307.08702arxiv.org/abs/2307.08702 Introduction 统一的无监督图像表示学习是一个关键但具有挑战性的问题。许多计算机视觉任务可以大致分为两个类,区别性和生成性。判别学习注...
connection to provide a shortcut for feature aggregation. Finally, both shallow and deep features are fused in the reconstruction module for high-quality image reconstruction. Compared with prevalent CNN-based image restoration models, Transformer-based SwinIR has several benefits: (1) ...
Deep learning models have gained significant interest as a way of building hierarchical image representation. However, current models still perform far beh... Jing,Liu,Bingyuan,... - 《Pattern Recognition》 被引量: 8发表: 2015年 Detection guided deconvolutional network for hierarchical feature learni...
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models使用冻结图像编码器和大型语言模型的自引导语言图像预训练摘要由于大规模模型的端到端训练,视觉和语言预训练的成本变得越来越高。本文提出了一种通用且高效的预训练策略BLIP-2,它从现成的冻结预训练图像 多模态...
All models support multi-scale feature map extraction (feature pyramids) via create_model (see documentation) create_model(name, features_only=True, out_indices=..., output_stride=...) out_indices creation arg specifies which feature maps to return, these indices are 0 based and generally co...
* New coverage of curvature in low-level feature extraction (SIFT and saliency) and features (phase congruency); geometric active contours; morphology; camera models * Updated coverage of image smoothing (anistropic diffusion); skeletonization; edge detection; curvature; shape descriptions (moments) ...