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[ECCV 2020] PyTorch Implementation of some RGBD Semantic Segmentation models.

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Hello, I'm trying to study about your code. But when I analysis your code, I can't find DeepLabV3+ Decoder in your code. Could you please tell me where the DeepLabV3+...

作者您好,感谢开源!想了解一下您文章中提到的RGB-D baseline使用了dual-branch deeplab v3 plus,想请问一下这个baseline是怎样的?

非常有启发的论文,请问您论文中特征图是如何可视化的呢,能否分享相应代码

请问论文中提到的修复前后特征图可视化的对比是如何得到的呀

如果一台机器上已经用了两张卡在跑,当我想用另外的卡去跑的时候会出现这个错误 ![image](https://user-images.githubusercontent.com/37789662/139675998-798df3d1-c439-4249-8a5c-dff4e593247d.png) 请问您这边遇到过吗?

您好,在您的文章中的公式(8)使用了RGBin和HHAin生成Mij,请问为什么不使用RGBrec和HHArec?既然RGBrec和HHArec已经在细节上有所修复。

作者您好,关于此代码能否训练多分类目标检测,该在您的代码哪一部分进行修改呢 ?

请问RGBD_Semantic_Segmentation_PyTorch/furnace/seg_opr/conv_2_5d.py 的Conv2_5D_Depth这个类的实现,是"2.5D Convolution for RGB-D Semantic Segmentation"这篇论文的实现吗? https://ieeexplore.ieee.org/document/8803757

Hi, thank you for your work. I met a error when installing apex. Follwing are details `/root/miniconda3/envs/myconda/lib/python3.6/site-packages/torch/lib/include/ATen/cuda/CUDAContext.h:12:10: fatal error: cusparse.h: No such file or directory #include "cusparse.h" ^~~~~~~~~~~~ compilation terminated....