Interested in Segmentation with 🔥only🔥 Bounding-Box annotations?
We are starting a Discussion Group in our Discord Forum.
I will cover the 3 papers (Tian, et al.) that the BoxInst architecture is built on, in several presentations (thread👇)
Forum: discord.gg/JDBeZYK
We are starting a Discussion Group in our Discord Forum.
I will cover the 3 papers (Tian, et al.) that the BoxInst architecture is built on, in several presentations (thread👇)
Forum: discord.gg/JDBeZYK
📅Dates will be announced soon. Stay tuned!
- FCOS: Fully Convolutional One Stage Detector (Apr 2019):
Bounding boxes detector without using anchor boxes nor Region Proposal Network (RPN)
arxiv.org/pdf/1904.01355
- FCOS: Fully Convolutional One Stage Detector (Apr 2019):
Bounding boxes detector without using anchor boxes nor Region Proposal Network (RPN)
arxiv.org/pdf/1904.01355
- CondInst: Conditional Convolutions for Instance Segmentation (March 2020):
It's a per-instance segmentation. They generate specific light filters per instance as opposed to filters common to all instances
arxiv.org/pdf/2003.05664
It's a per-instance segmentation. They generate specific light filters per instance as opposed to filters common to all instances
arxiv.org/pdf/2003.05664
- BoxInst: High-Performance Instance Segmentation with Box Annotations (Dec 2020):
How to do instance segmentation with 🔥only🔥 bounding-box annotations
arxiv.org/pdf/2012.02310…
Demo:
How to do instance segmentation with 🔥only🔥 bounding-box annotations
arxiv.org/pdf/2012.02310…
Demo:
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