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Have you ever tried larger models such as ResNet-50/101/152 or DenseNet, wider models like wide-ResNet? And have you ever tried MoCo V2 besides SimCLR? Why finally choose ResNet-18 and SimCLR? This is…
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I have downloaded voc_0712_80k-110k.tgz from google drive and extract and rename the files in "res101_faster_rcnn_iter_110000.ckpt.meta". (Initially, these 4 files' prefix is vgg16).
When I run the d…
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![Screenshot from 2019-04-12 14-38-15](https://user-images.githubusercontent.com/41368243/56025989-e303c800-5d30-11e9-9e6a-17cd8c5f320f.png)
Platform (like ubuntu 16.04/win10):
Ubuntu 16.04
P…
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## Description
converting onnx to tensorrt, occur [[8] Assertion failed: nbSpatialDims == kernelWeights.shape.nbDims - 2]
![image](https://user-images.githubusercontent.com/3700924/114705050-e421c2…
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Hi, thanks for the wonderful repo!
I want to extract video features using the pre-trained model (resnext-101-kinetics.pth), but I got an out of memory errors (it shows it need 263G memory). Is there…
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Hi,Xie:
I've seen that in your released model repository that (faster-rcnn-resnet without ohem) discriminator part is resnet-101,can you please release the pretrained model of resnet-50 version, it w…
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WARNING:tensorflow:From C:\Users\HP\Anaconda3\envs\tf-gpu-v2\lib\site-packages\keras\backend\tensorflow_backend.py:4267: The name tf.nn.max_pool is deprecated. Please use tf.nn.max_pool2d instead.
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when I use resnext-101 model and resnet-152 model, it throws this error. I can seccessfully use resnet-18 model. How to solve this problem?
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"we follow the bottom-up-attention model (Anderson et al. 2018) and use ResNet-101 (He et al. 2016) as the backbone network of the Faster R-CNN (Renet al. 2015) to extract image features"
I didn't fi…
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https://github.com/pytorch/hub/blob/master/pytorch_vision_resnet.md#model-description
"Here we have the 5 versions of resnet models, which contains **5**, 34, 50, 101, 152 layers respectively".
I be…