Stars
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
SNIPER / AutoFocus is an efficient multi-scale object detection training / inference algorithm
Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners
PyTorch implementation of Contrastive Learning methods
Cambrian-1 is a family of multimodal LLMs with a vision-centric design.
Codes for paper "Mask Scoring R-CNN".
The official pytorch implementation of our paper "Is Space-Time Attention All You Need for Video Understanding?"
High quality, fast, modular reference implementation of SSD in PyTorch
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
Code for the ICML 2021 (long talk) paper: "ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision"
Synchronized Batch Normalization implementation in PyTorch.
Official PyTorch Implementation of "Diffusion Transformers with Representation Autoencoders"
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network
Receptive Field Block Net for Accurate and Fast Object Detection, ECCV 2018
This repository provides the code and model checkpoints for AIMv1 and AIMv2 research projects.
A PyTorch-based library for semi-supervised learning (NeurIPS'21)
PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057
Caffe models (including classification, detection and segmentation) and deploy files for famouse networks
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
code for "Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion"
Bottom-up Object Detection by Grouping Extreme and Center Points
This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".