ML competitions

Winning solutions in Autonomous mobility

Each competition keeps placement-level public sources and a source image linked back to the competition provider.

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Named public records

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These records are curated examples from the detailed snapshot. Their count can be lower than the broader source count above because the sources are collected and refreshed independently.

Exact public-code imports

Each named record identifies the context of an exact import. An import can appear in source, an example, a test, documentation, or a notebook.

9

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Import in source

HybridNets

End-to-end road-perception network.

Import in source

Ultralytics

Training framework for detection, segmentation, pose, and tracking.

Import in source

YOLOv5

Object-detection training stack.

Import in source

uzh-rpg/ess

Repository relating to "ESS: Learning Event-based Semantic Segmentation from Still Images" (ECCV, 2022).

Import in source

valeoai/LOSC

[3DV 2026, Oral] Official PyTorch implementation of LOSC: LiDAR Open-voc Segmentation Consolidator

Research citations

A citation establishes research use or discovery. It does not by itself prove a dependency, deployment, endorsement, or commercial license.

30

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Verified Hugging Face artifacts

Each record has public code-use or runtime-dependency evidence. Reference-only cards are not shown here.

15

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Verified runtime dependency · Hugging Face space

imvaibhavrana/RoadVision

0 public downloads · python ast import in app.py

Verified runtime dependency · Hugging Face space

shipr1611/xray-explainer

0 public downloads · python ast import in app.py

Inspect all public GitHub evidence