Comments (2)
The GPU we used is GeForce GTX TITAN X, 12G. In one server, we have 4 such GPUs.
We do not remember how long time we train. However, you can easily approximate the training time by checking the time of one iteration or one epoch.
from collaborative-learning-for-weakly-supervised-object-detection.
I only have one TITANX. Can I make the program work by reducing batchsize?Or is there any way to get it to run?
from collaborative-learning-for-weakly-supervised-object-detection.
Related Issues (17)
- Request for your predicted result files. HOT 1
- Initialization for premodel of different nets HOT 9
- Implementation difference with the published paper HOT 1
- RuntimeError: CUDA error: out of memory HOT 1
- question about training on VOC07 HOT 11
- train.sh: line 49: syntax error near unexpected token `>'
- About pytorch version HOT 2
- Why remove the background from the category HOT 3
- Hello! I have trained the network, but when testing, only the ap value appears, there is no saved image, how can I get it? HOT 1
- About WSDDN_pre_train model HOT 4
- Why would I get Segmentation fault or pagefaults 0swaps errors?
- Memory leaks during training! HOT 2
- Why are you using faster-rcnn instead of fast rcnn?
- Problem about train.sh
- Problems with training
- mAP resultts
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from collaborative-learning-for-weakly-supervised-object-detection.