torch.masked — PyTorch 2.6 documentation

总的来说，DeepMask是一个创新的实例分割方法，它的Torch实现为研究者和开发者提供了一个强大的工具，用于解决图像识别中的实例分割问题。通过深入理解 ...

在PyTorch中，`torch.masked_select()`函数是一个非常实用的工具，它允许我们根据提供的掩码（mask）从张量中选择特定的元素。掩码通常是一个ByteTensor，其中0 ...

I'm trying to implement Deepmask with Pytorch, so far I have defined the Joint Loss Function, and the model's learn-able parameters. I was ...

Introduction. This repository contains a Torch implementation for both the DeepMask and SharpMask object proposal algorithms.

Introduction. This repository contains a Torch implementation for both the DeepMask and SharpMask object proposal algorithms.

This repository contains a Torch implementation for both the DeepMask and SharpMask object proposal algorithms.

The mask tells us which entries from the input should be included or ignored. By way of example, suppose that we wanted to mask out all values that are equal to ...

Returns a new 1-D tensor which indexes the input tensor according to the boolean mask mask which is a BoolTensor.

COCO is a though dataset to work with. The data loading code itself must have been a lot of work. This repo is great stuff.

DeepMask的开发语言是Lua，这是一种较新的脚本语言，主要用来做数据处理等。DeepMask用到了Torch7这个框架，这个框架是一个Lua的编程框架。同时还用到了很多 ...