A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

SWEM: Towards Real-Time Video Object Segmentation with Sequential Weighted Expectation-Maximization

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Next-generation Video instance recognition framework on top of Detectron2 which supports InstMove (CVPR 2023), SeqFormer(ECCV Oral), and IDOL(ECCV Oral))

PyTorch implementation of VSR-Transformer

Official PyTorch implementation of A-ViT: Adaptive Tokens for Efficient Vision Transformer (CVPR 2022)

OpenMMLab Detection Toolbox and Benchmark

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

A python library for self-supervised learning on images.

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

Machine learning metrics for distributed, scalable PyTorch applications.

This repository contains the code for "SBEVNet: End-to-End Deep Stereo Layout Estimation" paper by Divam Gupta, Wei Pu, Trenton Tabor, Jeff Schneider

Diffusion-based markup-to-image generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Implementation of Make-A-Video, new SOTA text to video generator from Meta AI, in Pytorch

Implementation of the nearest neighbour CLR paper

Official Detectron2 implementation of DA-RetinaNet, An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites, Image and Vision Computing (IMAVIS) 2021

Official Pytorch implementations of PSENet.

OpenMMLab Text Detection, Recognition and Understanding Toolbox

Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

A package to read and convert object detection datasets (COCO, YOLO, PascalVOC, LabelMe, CVAT, OpenImage, ...) and evaluate them with COCO and PascalVOC metrics.

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.

Integrates optical flow into an object detector for detection on the Waymo Open Dataset

OpenMMLab Semantic Segmentation Toolbox and Benchmark.