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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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## 🚀 Feature
Implementation of Efficient-Net and Efficient-Det in Pytorch Lightning
### Motivation
These two algorithms are the state of the art in Image classification and Object detection. Pr…
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论文: [DETRs Beat YOLOs on Real-time Object Detection](https://arxiv.org/abs/2304.08069)
代码:
- https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rtdetr
- https://github.com/lyuwen…
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**Short Description**
EfficientDet is a type of **object detection** model, which utilizes several optimization and backbone tweaks, such as the use of a [BiFPN](https://paperswithcode.com/method/b…
innat updated
3 months ago
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### 🚀 The feature
Implement CrossVIT model for Fine grained classification
### Motivation, pitch
CrossViT integrates multi-scale feature representations, enabling it to efficiently process images o…
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# Implement Run Length Buffering
## Description
Run-length buffering needs to be implemented in the rendering pipeline to optimize how ANSI codes are handled. This will reduce the number of color …
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### Search before asking
- [X] I have searched the HUB [issues](https://github.com/ultralytics/hub/issues) and found no similar feature requests.
### Description
At present, apps can only use one …
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### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussion…
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**Is your feature request related to a problem? Please describe.**
The problem is the lack of an efficient and accurate system for detecting weapons in images or videos, which is a critical task in v…
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Do author plan to implement EfficientDet "EfficientDet: Scalable and Efficient Object Detection" into mmdet framework
That would be great!
Thanks