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A paper list of object detection using deep learning.
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.
Pytorch implementation of convolutional neural network visualization techniques
A faster pytorch implementation of faster r-cnn
Object detection, 3D detection, and pose estimation using center point detection:
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
A simple, fully convolutional model for real-time instance segmentation.
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
Handwriting Synthesis with RNNs ✏️
Torchreid: Deep learning person re-identification in PyTorch.
Sequence modeling benchmarks and temporal convolutional networks
A highly efficient implementation of Gaussian Processes in PyTorch
Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
Siamese and triplet networks with online pair/triplet mining in PyTorch
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
On the Variance of the Adaptive Learning Rate and Beyond
Collection of common code that's shared among different research projects in FAIR computer vision team.
A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding