AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
Code release for ConvNeXt model
[ICLR 2022] DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
Official DeiT repository
Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.
End-to-End Object Detection with Transformers
Deep learning operations reinvented (for pytorch, tensorflow, jax and others)
Experiment. Plot. Tabulate.
LiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
OpenMMLab Computer Vision Foundation
OpenMMLab Detection Toolbox and Benchmark
CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark
A lightweight, scalable, and general framework for visual question answering research
A lightweight codebase for referring expression comprehension and segmentation
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.
Datasets, Transforms and Models specific to Computer Vision
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
🔥🔥🔥🔥 YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥