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论文地址:Weakly-and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation Google的George Papandreou 和UCLA的Liang-Chieh Chen等在DeepLab的基础上进一步研究了使用bounding box和image-level labels作为标记的训练数据。使用了期望值最大化算法(EM)来估计未标记的像素的类别和CNN的参数。 对于image-...
ImageNet图像分类-01-MobileNet-ONNX 基于 ImageNet 数据集,可以对 1000 个类别的物体进行分类。 MobileNet 是一种轻量化的卷积神经网络模型,旨在在计算资源有限的设备上实现高效的图像分类和目标识别。 MobileNet 通过使用深度可分离卷积来减少模型中的参数数量,从而大大减小了模型的大小和计算复杂度。深度可分离卷积...
"chelsea": "a facial photo of a tabby cat", "astronaut": "a portrait of an astronaut with the American flag", "rocket": "a rocket standing on a launchpad", "motorcycle_right": "a red motorcycle standing in a garage", "camera": "a person looking at a camera on a tripod", ...
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