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FPN highlights the importance of leveraging the multi-scale feature hierarchy for object detection.
More details see the paper: [Feature Pyramid Networks for Object Detection](http://openaccess.the…
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Hello，thank you for your work;
I am following your article Tripartite Feature Enhanced Pyramid Network for Dense Prediction. I want to know the corresponding code, but I can't find it in your home pa…
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## ❓ Questions and Help
Why the pool kernel = 1? I think it should be 2 (my understanding is that kernel = 1 won't do max pooling correctly.
line 175: x.append(F.max_pool2d(x[-1], **1**, 2, 0))
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This task is part of the KerasHub project ( Consolidating all of KerasCV and KerasNLP models in to one place)
Models from KerasCV will be added to KerasNLP in KerasNLP infrstructure style. The develop…
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Hi,
Thank you for your amazing work!
I am trying to get features use PtV3 to generate feature pyramids for a pointcloud. So for example, if I have a network with 3 encoder and 3 decoder layers, I…
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in yolo3, you use concept from feature pyramid networks, can you explain why 'feature pyramid' likes dssd, retinanet outperform 'feature pyramid' likes ssd for object detection (not segmentation)? tha…
ghost updated
5 years ago
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请问您的实现过程是依据Hybrid receptive field network for small object detection on drone view这篇论文吗？或者是那篇论文的理论支撑，我想学习一下
djdll updated
2 months ago
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feature_pyramid方法 95行 代码
p_2 = conv_s2_3x3(x_2)
应该是 p_2 = conv_s2_3x3(p_2) 吧
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## 一言でいうと
物体検知の手法で使用される、Feature Pyramidを改善した研究。既存のピラミッドはクラス分類特化のモデルの、単一レイヤからしか作られていない点を指摘。複数レイヤの特徴を混合し、そこからU型のConv/Deconvを積み上げ物体検出に特化したピラミッドを構築している。
![image](https://user-images.githubuserconten…
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About 'K-Means Clustering of Frozen Diffusion Features', how do you perform on the dataset? Because the LDM model accept the text input to generate the new image samples, and what do you input to obta…