junting

There is another error with NSS: `File "/home/env/local/lib/python2.7/site-packages/pysaliency/saliency_map_models.py", line 511, in NSSs _values /= std TypeError: ufunc 'true_divide' output (typecode 'd') could not be coerced to provided output parameter (typecode...

Hi @hiteshnitetc Sure, of course, you can. SalGAN is trained with images and ground truth saliency maps. The part about fixation map is something extra that we added later for...

Hi @13551132330 , First, you can ignore the fixation map part, since they were not used for training. Secondly, we have only tested on Linux environment with GPU. Thirdly, sorry...

Hi, The features for computing FID score were extracted from the layer before the last pooling layer of the I3D network.

Hi, Thanks for your interest! I checked your GIF files, it seems that the size of the input image is 256x256, however, the provided pre-trained models were trained by using...

> Hi, Thanks so much for releasing the code! Unfortunately, the code seems untested, as there are many typo's which raise runtime errors (e.g. `uitls` and `datset` throw exceptions). Could...

> Furthermore, I have the following questions about the relationship between the paper and code. > > 1. **Occlusion Masks.** The paper reads: > > > We define a pixel...

Hi, we trained a different model for different categories.