CornerNet

Object detector

A deep learning framework for object detection using corner pooling and keypoint localization.

GitHub

2k stars
61 watching
475 forks
Language: Python
last commit: about 4 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
apple/corenet A deep neural network toolkit allowing researchers and engineers to train various models 6,988
cadene/pretrained-models.pytorch Provides pre-trained PyTorch models for various computer vision tasks and datasets. 9,036
cszn/kair Image restoration toolbox with training and testing codes for various deep learning-based methods 2,968
tusen-ai/simpledet A framework for object detection and instance recognition with high-performance training capabilities 3,084
moskomule/senet.pytorch An implementation of Squeeze-and-Excitation Networks (SE-Nets) for deep learning image classification tasks 2,285
hujie-frank/senet An implementation of the Squeeze-and-Excitation Networks architecture in Caffe 3,394
dmlc/gluon-cv A toolkit for building and deploying deep learning models in computer vision 5,833
timesler/facenet-pytorch This project provides pre-trained PyTorch models for face detection and recognition tasks. 4,550
openai/baselines High-quality implementations of reinforcement learning algorithms for research and development purposes 15,827
vision-cair/minigpt-4 Enabling vision-language understanding by fine-tuning large language models on visual data. 25,422
jfzhang95/pytorch-deeplab-xception A PyTorch implementation of the DeepLab-V3-Plus model with support for multiple backbones and datasets 2,910
quark0/darts Automated method to find optimal architecture for machine learning models 3,919
atcold/nyu-dlsp20 An educational resource for learning deep learning with PyTorch 6,695
tobiascz/mnist_pytorch_python_and_capi An example project demonstrating how to train and deploy a neural network in Python and C++ using PyTorch 1.0 96
facebookresearch/dinov2 A PyTorch implementation of a self-supervised learning method for learning robust visual features without supervision. 9,274