Stars
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