focal-loss

Object detector

An implementation of focal loss for dense object detection in mxnet.

Focal loss for Dense Object Detection

GitHub

486 stars
25 watching
124 forks
Language: Python
last commit: about 7 years ago

Related projects:

Repository Description Stars
unsky/retinanet A Python implementation of the RetinaNet architecture with focal loss for dense object detection. 225
bes-dev/mpl.pytorch A PyTorch implementation of a loss function used in semantic image segmentation 175
coincheung/pytorch-loss Provides a comprehensive set of implementation of various loss functions and operators for deep learning models 2,196
unsky/fpn This project implements a deep learning framework for object detection using a feature pyramid network architecture. 525
hanxunh/active-passive-losses A PyTorch-based framework for implementing normalized loss functions to improve deep learning model robustness against noisy labels. 134
alanchou/truncated-loss An implementation of a loss function designed to improve the training of deep neural networks with noisy labels 126
fyu/dilation This project provides a deep learning framework implementing dilated convolutions for semantic image segmentation 782
gohsyi/peerloss An approach to learning with noisy labels using peer prediction loss function. 35
vinthony/depth-distillation Develops a method to automatically detect and estimate defocus blur in images 66
zhou13/neurvps A deep learning framework for detecting vanishing points in images 180
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 222
ltriess/kitti_scan_unfolding A Python implementation of KITTI scan unfolding to correct systematic discretization artifacts in LiDAR point cloud projections. 15
radimspetlik/si-ddpm-fmo A Python-based framework for training and evaluating deep learning models for single-image deblurring, shape, and trajectory recovery of fast-moving objects. 5
bychelsea/cmos This project provides a PyTorch implementation of a blind image super-resolution model using space-variant blur estimation. 9
loseys/oblivion Real-time monitoring and notification tool to detect data leaks and credential breaches. 520