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# Supervised Transformer Network for Efficient Face Detection #
- Author: Dong Chen, Gang Hua, Fang Wen, Jian Sun
- Origin: https://arxiv.org/abs/1607.05477
- Related:
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Hi,
While running `./experiments/scripts/demo.sh $GPU_ID`, I almost always get these errors and warnings :
```
2018-07-06 13:14:14.755317: E tensorflow/stream_executor/cuda/cuda_driver.cc:406] f…
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Hi,
Great work. Does your code support prompts, like point-prompts or box prompts which are in the original SAM
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hello
Thanks for sharing your source code!
On my side, I would like to ask you how the heat map in your Figure 7 is realized?
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https://arxiv.org/pdf/1512.03385.pdf
Deeper neural networks are more difficult to train. We present a residual learning framework to ease the training of networks that are substantially deeper than…
leo-p updated
7 years ago
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**Describe the bug**
When I create a variable to store `temporal_tomography_output[local_qnic.address][partner_addr]` at HardwareMonitor, I found segmentation fault at `final()` function in the Hardw…
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Hi, I'm wondering if your segcaps implementation in pytorch for segmentation task can work?
I also do some research about segmentation and want to test SegCaps performance in our dataset
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```
What steps will reproduce the problem?
1. Run your slave software
2. Send a modbus TCP/IP ADU request with one byte per TCP segment (this is
legal according to RFC 793). Maybe this can be achieve…
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```
What steps will reproduce the problem?
1. Run your slave software
2. Send a modbus TCP/IP ADU request with one byte per TCP segment (this is
legal according to RFC 793). Maybe this can be achieve…
-
```
What steps will reproduce the problem?
1. Run your slave software
2. Send a modbus TCP/IP ADU request with one byte per TCP segment (this is
legal according to RFC 793). Maybe this can be achieve…