662 Open source projects that are alternatives of or similar to Asis

PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling （CVPR 2020）

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Visualising LIDAR data from KITTI dataset.

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An integrated SfM (Structure from Motion) and MVS (Multi-View Stereo) solution.

C++ library and programs for reading and writing ASPRS LAS format with LiDAR data

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Satellite Image Classification using semantic segmentation methods in deep learning

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Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision (CVPR 2020 Oral)

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image (semantic segmentation) instance segmentation by darknet or yolo

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embedding and grouping pixels into boundary, proposal, segment and object instance.

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PyTorch Implementation of Fully Convolutional Networks (a very simple and easy demo).

Sandbox for training deep learning networks

[ECCV 2020] PSConv: Squeezing Feature Pyramid into One Compact Poly-Scale Convolutional Layer

Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)

Implement some models of RGB/RGBD semantic segmentation in PyTorch, easy to run. Such as FCN, RefineNet, PSPNet, RDFNet, 3DGNN, PointNet, DeepLab V3, DeepLab V3 plus, DenseASPP, FastFCN

SOLOv2: Dynamic, Faster and Stronger, achives 39.5mAP on coco test-dev (36 epochs result)

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Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)

Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR 2018).

Differentiable Surface Splatting

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

A native Tensorflow implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions (2016). Optionally uses the pretrained weights by the authors.

An (re-)implementation of DeepLab v2 (ResNet-101) in TensorFlow for semantic image segmentation on the PASCAL VOC 2012 dataset.

Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)

Collection of computer vision models, ready to be included in a JVM project

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[CVPR 2020] Semi-Supervised Semantic Segmentation with Cross-Consistency Training.

Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

A high-performance neural network library for point cloud processing.

Patch-base progressive 3D Point Set Upsampling

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

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DBNet: A Large-Scale Dataset for Driving Behavior Learning, CVPR 2018

CloudCompare main repository

SegSort: Segmentation by Discriminative Sorting of Segments

Point cloud semantic segmentation via Deep 3D Convolutional Neural Network

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