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I have download ADEChallengeData2016 and unzip it.
The structure is:
---ADEChallengeData2016
--annotations
-validation
-training
--images
-validation
-t…
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Hi, thanks for the excellent work. I'm trying to reproduce the semantic segmentation results (ResNet-50 backbone + ADE20K). However, the performance is 46.6%, which is much lower than yours by 2.1%. I…
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Dear authors,
Thanks for your great work. I have a question about the cross-dataset evaluation setting.
Can you clarify: about the pseudo gt masks you generated for cross-dataset evaluation, are t…
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Thank you for all your works ! Sorry about that I have a question
in train process i get the the following metrics with val datas
2021-10-09 04:18:34,676 INFO [base.py, 84] Performance 0.77510769…
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# Describe the feature
**Motivation**
Recently, a series of open-vocabulary semantic segmentation works have emerged. For example: Scaling Open-Vocabulary Image Segmentation with Image-Level Label…
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When I run
`python tools/test.py configs/setr/setr_vit-l_pup_8xb2-160k_ade20k-512x512.py checkpoints/setr_pup_512x512_160k_b16_ade20k_20210619_191343-7e0ce826.pth`
the last line of the logs read…
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Hello, we used the model you provided to test on the test data you provided, and obtained the following results. The test model is SD=1.5.
Model | Dataset | FID | CLIP-Score | Paper
ControlNet | COC…
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When I tried to train the deeplabv3 model by:
python train.py --model deeplabv3_plus --backbone resnet50 --dataset ade20k --lr 0.0001 --epochs 50
it reports that:
model = Xception65(**kwargs)
Type…
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I ran the b0 model on ade160k with mmseg, but the mIoU result is slightly lower than reported(36.8% and the reported result is 37.4%), I wonder if that is a normal fluctuation.