https://github.com/rwightman/pytorch-image-models
Adam : A Method For Stochastic Optimization
AugFPN : Improving Multi-scale Feature Learning for Object Detection
Cascade R-CNN : Delving into High Quality Object Detection
Fully Convolutional Networks for Semantic Segmentation
High-Resolution Representation for Labeling Pixels and Regions
SeMask: Semantically Masked Transformers for Semantic Segmentation
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
Structure-from-Motion Revisited
HumanNeRF : Efficiently Generated Human Radiance Field from Sparse Inputs
HumanNeRF : Free-viewpoint Rendering of Moving People from Monocular Video
NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections
StyleNeRF : A Style-Based 3D-Aware Generator for High Resolution Image Synthesis
pixelNeRF : Neural Radiance Fields from One of Few Images
HyperNeRF : A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields
Generative Adversarial Networks
GIRAFFE : Representing Scenes as Compositional Generative Neural Feature Fields