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I came across your GitHub repository where you have shared a PyTorch implementation of a backbone network for a classification task. I'm interested in using this backbone for a segmentation task, but …
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## 一言でいうと
DNNの精度を落とさず演算速度をどう上げるかという課題へのアプローチ(最近トレンドになっている)。構成は下図の通りで、18倍の速度向上とパラメーター数を1/79に削減。ポイントはdown samplingで、早い層から仕掛けている
- Models in the persistent area
- Contr…
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Hi @baifanxxx :
I'm encountering an issue where the forward pass of the `SegVol` class hangs when the `image` is passed to `image_encoder`, resulting in NCCL communication timeouts in finetuning with…
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related paper
|摘要|
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|Deep learning has considerably improved semantic image segmentation. However, its high accuracy is traded against larger computational costs which makes it unsuitable fo…
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related paper
|摘要|
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|State-of-the-art models for semantic segmentation are based on adaptations of convolutional networks that had originally been designed for image classification. However,…
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Hi ! I have a question about PixelLib.
I'm currently developping an application that uses BEV ( https://github.com/Arthur151/ROMP ) to detects humans on a Webcam video stream, and generate cropped …
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src:
https://arxiv.org/abs/1909.06684
腎臓のDice score:0.9742
腎臓がんのDice score:0.8103
全体:0.8923と高い精度を出している。
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if I have a semantic segmentation model:
input1 : (B, 3, H, W)
input2 : (B, 3, H, W)
output1, ouput2 = model(input1, input2)
output1 : (B, C, H, W)
output2 : (B, C, H, W)
…