SFA3D
Object detector
A deep learning framework for fast and accurate 3D object detection from LiDAR point clouds
Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)
1k stars
32 watching
275 forks
Language: Python
last commit: about 1 year ago
Linked from 1 awesome list
3d-object-detectionbevmapcenterfast-detectionkitti-datasetlidar-point-cloudreal-timerosrtm3d
Related projects:
Repository | Description | Stars |
---|---|---|
charlesq34/frustum-pointnets | A deep learning framework for 3D object detection from RGB-D data | 1,592 |
matlab-deep-learning/lidar-object-detection-using-complex-yolov4 | Provides pre-trained deep learning models for object detection in point clouds using complex YOLOv4 architecture | 21 |
ayoolaolafenwa/pixellib | A deep learning library for image segmentation and object detection using PyTorch. | 1,049 |
fmassa/object-detection.torch | An implementation of object detection frameworks in the Torch deep learning framework | 116 |
skyhehe123/sa-ssd | A deep learning model that uses 3D point cloud data to improve the precision of single-stage object detection in autonomous vehicles. | 493 |
v2ai/det3d | A general-purpose 3D object detection codebase that supports multiple algorithms and datasets | 1,503 |
szq0214/dsod | A deep learning-based object detection system from scratch | 706 |
lartpang/ovcamo | Develops an object segmentation algorithm to detect camouflaged objects in images with varying backgrounds and contexts. | 20 |
daijifeng001/r-fcn | A MATLAB implementation of an object detection framework that leverages deep fully convolutional networks to accurately and efficiently detect objects in images. | 1,245 |
vmarsocci/3dcd | Automatically inferring 2D and 3D change detection maps from bitemporal optical images without relying on DSMs. | 28 |
ibm/max-object-detector | A tool for detecting objects in images using deep learning models | 290 |
bharath272/sds_eccv2014 | A Matlab implementation of simultaneous object detection and segmentation using deep learning techniques. | 96 |
lz118/deep-correlation-network | Develops a deep neural network model for detecting salient objects in RGBT images using correlation information from other colors. | 13 |
weecology/deepforest | A Python package for training and predicting ecological objects in airborne imagery using deep learning object detection networks. | 519 |
damo-nlp-sg/vcd | An approach to reduce object hallucinations in large vision-language models by contrasting output distributions derived from original and distorted visual inputs | 209 |