UniAD VS MonoScene

Compare UniAD vs MonoScene and see what are their differences.

UniAD

[CVPR 2023 Best Paper] Planning-oriented Autonomous Driving (by OpenDriveLab)
autonomous-driving end-to-end-autonomous-driving motion-prediction multi-object-tracking perception-prediction-planning bev-segmentation motion-planning occupancy-prediction autonomous-driving-framework
Source Code
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MonoScene

[CVPR 2022] "MonoScene: Monocular 3D Semantic Scene Completion": 3D Semantic Occupancy Prediction from a single image (by astra-vision)
nyu-depth-v2 semantic-scene-completion semantic-scene-understanding single-image-reconstruction monocular 2d-to-3d semantic-kitti kitti-360 mayavi Pytorch Deep Learning Computer Vision cvpr22 cvpr2022 occupancy-prediction
Source Code
astra-vision.github.io
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UniAD MonoScene
1 1
2,896 655
6.3% 2.4%
7.1 5.8
2 months ago about 2 months ago
Python Python
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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UniAD

Posts with mentions or reviews of UniAD. We have used some of these posts to build our list of alternatives and similar projects.

MonoScene

Posts with mentions or reviews of MonoScene. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing UniAD and MonoScene you can also consider the following projects:

PaddleDetection - Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

DeepViewAgg - [CVPR'22 Best Paper Finalist] Official PyTorch implementation of the method presented in "Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation"

M2I - M2I is a simple but effective joint motion prediction framework through marginal and conditional predictions by exploiting the factorized relations between interacting agents.

DAD-3DHeads - Official repo for DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single Image (CVPR 2022).

ByteTrack - [ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box

VoxFormer - Official PyTorch implementation of VoxFormer [CVPR 2023 Highlight]

datasets - 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

gangealing - Official PyTorch Implementation of "GAN-Supervised Dense Visual Alignment" (CVPR 2022 Oral, Best Paper Finalist)

EPro-PnP - [CVPR 2022 Oral, Best Student Paper] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation

UniAD vs PaddleDetection MonoScene vs DeepViewAgg UniAD vs M2I MonoScene vs DAD-3DHeads UniAD vs ByteTrack MonoScene vs VoxFormer MonoScene vs datasets MonoScene vs gangealing MonoScene vs EPro-PnP