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# Vision Transformer Adapter for Dense Predictions | Yuho Jeong
[https://yuhodots.github.io/deeplearning/24-03-15/](https://yuhodots.github.io/deeplearning/24-03-15/)
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Hello,
I am looking at the `VGRNN_prediction.py` script and I found what seems to be a bug on [this line](https://github.com/VGraphRNN/VGRNN/blob/352da1b63fe6ea1db18c7d512793a21e0d9a5bbb/VGRNN_pre…
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Hi, I try to convert model to nccn using Mobilenetv3Small, but I get this error
ERROR] Operator Rescaling not support.
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{'name': 'rescaling', 'trainable':…
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Dear authors:
Thank you for your great work! I wonder why you used DINOV1 instead DINOV2, which is more suitable for dense prediction task. Thank you!
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Seed Quality Prediction (also developed an API )
:red_circle: **Aim** : To get to know the quality of t…
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def prepare_embeddings(self, inputs):
"""BERT的embedding是token、position、segment三者embedding之和
"""
x, s, layer_norm_conds = inputs
z = layer_norm_conds[0]
…
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I'm trying to create a simple 3-layer linear model (dense(25) -> dropout -> dense(1)) and get NaNs as the prediction. A single layer model works, once I add more than one layer I get the NaNs. Here's …
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Link to another project: **DPT (Dense Prediction Transformers)** - State of the art Semantic-segmentation and Monocular depth estimation network
* Top-1 accuracy on Pascal-Context Semantic segmenta…
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I have noticed that the `predict` function of a keras model in tensorflow-rocm is acting inconsistently with Tensorflow-ROCm-3.7 (and so too is the `evaluate` function, likely for similar reasons). Th…
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Can you tell me which code produces the dense correspondence prediction shown in your paper?