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Hi, great dataset for experimenting deep learning network for autonomous vehicles.
but while using the sdk for projection of GT on to images, got many negatives, is there a way to handle these nega…
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Hello, first of all, thank you for your guidance. However, after reading through, I'm not quite clear on how to evaluate the model. Could you provide an example, please?
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Similar Solutions:
Clearview AI: Provides facial recognition technology widely used by law enforcement to detect individuals from large datasets of public photos.
Pros: High accuracy and huge databas…
vedez updated
4 weeks ago
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Hi WeijingShi,
I was looking at your code for my master thesis work on obstacle tracking in autonomous vehicles and wanted to ask what format is the output presented in? i.e. when I see the line
Ca…
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Interaction-Aware Behavior Planning for Autonomous Vehicles Validated with Real Traffic Data. (arXiv:2101.05985v1 [cs.RO])
https://ift.tt/35RIAyt
Autonomous vehicles (AVs) need to interact with other …
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**Original report ([archived issue](https://osrf-migration.github.io/gazebo-gh-pages/#!/osrf/gazebo/issues/1207)) by Prudhvi Dharmana (Bitbucket: [prudhvid](https://bitbucket.org/%7Bf208279c-362f-4a1f…
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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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**What would you like to be added/modified**:
A benchmark suite for multimodal large language models deployed at the edge using KubeEdge-Ianvs:
1. Modify and adapt the existing edge-cloud data c…
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# Question : Create a program to simulate the behavior of a swarm of autonomous aerial vehicles.
Path to create the file : `otrlQU/MnH8Am.cs`
To assign yourself for this issue use `!assign`
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**Why is this needed**:
Lifelong Learning is an important feature for Sedna, which aims to make the inference robust across various scenarios, e.g., the thermal comfort prediction in different ci…