songzhan66

songzhan66

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CVPR2021-Paper-Code-Interpretation

cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集,极市团队整理

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detectron2_on_kitti

Detectron2 Mask R-CNN Fine-tune on KITTI Semantics Dataset and Virtual KITTI 2 Dataset

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DNet

Toward Hierarchical Self-Supervised Monocular Absolute Depth Estimation for Autonomous Driving Applications (IROS 2020)

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EdgeDepth-Release

Github Repo for Paper "The Edge of Depth: Explicit Constraints between Segmentation and Depth"

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google-research

Google Research

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IkomiaStudio

Ikomia Studio software

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Insta-DM

Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency (AAAI 2021)

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kitti_deeplab

Inference script and frozen inference graph with fine tuned weights for semantic segmentation on images from the KITTI dataset.

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kitti_object_vis

KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )

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manydepth

[CVPR 2021] Self-supervised depth estimation from short sequences

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panoptic-deeplab

This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

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PanopticFCN

Fully Convolutional Networks for Panoptic Segmentation (CVPR2021 Oral)

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SGDepth

[ECCV 2020] Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance

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SimVODIS

Simultaneous Visual Odometry, Object Detection, and Instance Segmentation

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