wildcat.pytorch

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Hi @durandtibo, I've been enjoying using WildCat for my work on histology image segmentation (https://ieeexplore.ieee.org/abstract/document/9098462). Lately I updated PyTorch to 1.7.1 and got a bunch of errors related to forward()...

pyushkevich

About Learning a Deep ConvNet for Multi-label Classification with Partial Label.

1

Hello, sorry for submitting an issue here. I read this paper recently, and be interested in the topic. I want to experiment it for: 1) analysis whether the GNN is...

wang-one-two

hi, I don't figure out the function AveragePrecisionMeter.average_precision which is used to caculate the precision for each class. is that right? the result is different from precision definition "TP /...

fengxinjie

implementation for the segmentation?

4

Hi, I could not find the implementation for the segmentation and its evaluation.... Where is it? Best, Satoshi

apple2373

My experiments using this code so far (using the settings suggested in the readme) seem to be learning, and producing good classification and localization results, but the separate output layers...

jtrammell-dla

Just like voc2007 we need to run "python3 -m wildcat.demo_voc2007 ../data/voc --image-size 448 --batch-size 16 --lrp 0.1 --lr 0.01 --epochs 20 --k 0.2 --maps 8 --alpha 0.7", the ms-coco dataset's...

xiaopingzeng

The mAP in voc2007

1

I only get best=93.395 when I run “python3 -m wildcat.demo_voc2007 ../data/voc --image-size 448 --batch-size 16 --lrp 0.1 --lr 0.01 --epochs 20 --k 0.2 --maps 8 --alpha 0.7”. How to get...

xiaopingzeng

Anyone uses this code to reproduce the performance reported in the paper? From my understanding, max+min pooling really doesn't make any sense in deep learning. Any rationality mentioned by author...

gwh0112

Training stuck at 0%

2

I'm currently using a docker image which include all required pytorch and CUDA 8.0 dependencies. I just cloned the repo and executed the demo_voc2007 with the default argument values. The...

Tauranis

Thank you for your effort.Could you please share the pretrained model?

soon-will