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Hi,
Thank you for your amazing work and for sharing your research. I am very interested in your paper titled "From SAM to CAMs: Exploring Segment Anything Model for Weakly Supervised Semantic Segme…
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Hi, many thanks for your kind sharing, would you please help us share our paper about weakly-supervised learning?
Paper: Modeling the Label Distributions for Weakly-Supervised Semantic Segmentation…
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## Keyword: sgd
### Doubly Stochastic Models: Learning with Unbiased Label Noises and Inference Stability
- **Authors:** Authors: Haoyi Xiong, Xuhong Li, Boyang Yu, Zhanxing Zhu, Dongrui Wu, Dejin…
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Hello,
This is an interesting paper, but I encountered some issues while studying it.
In the paper, the context affinity loss \(L_{ca}\) encourages visually dissimilar pixels to have different l…
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Hi! Thanks for your great effort!
The methods you compared in the paper are from open vocabulary semantic segmentation. I feel confused about whether they know class information or not during infer…
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https://arxiv.org/pdf/1904.01941.pdf
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Hi @peoplelu ,
Just had a quick look throw the BSNet paper, found it interesting, but still have 2 questions. Can you may be guide me a little bit throw them? Sorry if I'm missing something in my q…
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### 🚀 Feedback Request
This issue is dedicated for collecting community feedback on the Multi-weight support API. Please review the [dedicated article](https://pytorch.org/blog/introducing-torchvis…
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EfficientDet: Scalable and Efficient Object Detection
* paper: https://arxiv.org/abs/1911.09070v1
> First, we propose a weighted bi-directional feature pyramid network (BiFPN), which allows ea…
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