Comments (3)
Hi @justein
MTCNN uses three networks, and DSFD just has one, which is trained end-to-end .
DSFD has much better detection performance than MTCNN.
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@lijiannuist OK! thanks your reply and the awesome work ,I will check and learn.
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@justein I was wondering that same thing. Before I found DSFD, MTCNN seemed like the best choice, but it still missed faces.
It turns out, DSFD and MTCCN were evaluated using the same WIDER FACE Benchmark.
This article summarizes the details.
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Related Issues (20)
- how about the eval_tools? HOT 1
- Add 'configuration' files to install requirements easily
- TypeError: mul(): The parameter'other' (position 1) must be Tensor, not numpy.ndarray
- Excuse me, how to train the network? I don't seem to see the code about the training model
- How can we use webcam to test our DSFD model.
- FileNotFoundError: [Errno 2] No such file or directory: '/data/wider_face_split\\wider_face_val.mat' HOT 2
- [SOLVED] How to Implement DSFD on Windows, Mac, and Linux HOT 9
- [SOLVED] How to Implement DSFD on Windows, Mac, and Linux
- RandomBaiduCrop
- How do I test multiple images using Demo.py HOT 1
- TypeError: can't convert cuda:0 device type tensor to numpy. HOT 1
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- demo.py RuntimeError: Legacy autograd function with non-static forward method is deprecated. HOT 2
- TypeError: forward() missing 1 required positional argument: 'x' HOT 5
- How do I test the video in the demo.py?
- GPU out of memory HOT 1
- Fix RuntimeError: Legacy autograd function with non-static forward method is deprecated
- training code
- Legacy autograd function with non-static forward method is deprecated. HOT 1
- 论文里SSL损失函数公式最外面那个括号是不是放错位置了
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