A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

Implementation of DropLoss for Long-Tail Instance Segmentation in Pytorch

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

Few-shot Object Detection via Feature Reweighting

Pretty and useful exceptions in Python, automatically.

Lists the papers related to imbalance problems in object detection [TPAMI]

Tensors and Dynamic neural networks in Python with strong GPU acceleration

OpenMMLab Detection Toolbox and Benchmark

Pytorch implementation of HorizonNet: Learning Room Layout with 1D Representation and Pano Stretch Data Augmentation.

Pytorch implementation of convolutional neural network visualization techniques

Siamese Mask R-CNN model for one-shot instance segmentation

Pytorch code of "Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning", CVPR 2019.

A faster pytorch implementation of faster r-cnn

Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)

Implementation of One-Shot Object Detection with Co-Attention and Co-Excitation in Pytorch

Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .

VEGAN: Unsupervised Meta-learning of Figure-Ground Segmentation via Imitating Visual Effects

DeepLab v3+ model in PyTorch. Support different backbones.

A clean and readable Pytorch implementation of CycleGAN

Multimodal Unsupervised Image-to-Image Translation

A tool to transfer Perspective between Equirectangular