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Papers and Datasets about Point Cloud.
Collect some papers about transformer for detection and segmentation. Awesome Detection Transformer for Computer Vision (CV)
😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
[CVPR 2021] CPS: Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision
Agent Learning Framework https://alf.readthedocs.io
SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
Keras implementations of Generative Adversarial Networks.
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
OpenMMLab Detection Toolbox and Benchmark
SNIPER / AutoFocus is an efficient multi-scale object detection training / inference algorithm
A bronze medal method
Resources of semantic segmantation based on Deep Learning model
GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2
AlexeyAB / darknet
Forked from pjreddie/darknetYOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
Sequence modeling benchmarks and temporal convolutional networks
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Python package for stacking (machine learning technique)
philferriere / cocoapi
Forked from cocodataset/cocoapiClone of COCO API - Dataset @ http://cocodataset.org/ - with changes to support Windows build and python3
Full train/inference/submission pipeline adapted to the competition from https://github.com/matterport/Mask_RCNN
Implemented digit detector in natural scene using resnet50 and Yolo-v2. I used SVHN as the training set, and implemented it using tensorflow and keras.
Keras code and weights files for popular deep learning models.