Mixture of Transformer

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

OpenMMLab Detection Toolbox and Benchmark

This is a collection of our NAS and Vision Transformer work.

A central hub for gathering and showcasing amazing projects that extend OpenMMLab with SAM and other exciting features.

Official code for "RMT: Retentive Networks Meet Vision Transformer"

EfficientViT is a new family of vision models for efficient high-resolution vision.

Interpretability test over FeedFormer

Official implementation for the paper "Automatic Neural Network Pruning that Efficiently Preserves the Model Accuracy".

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning

Pruning Neural Networks with Taylor criterion in Pytorch

Deep Learning Zero to All - Pytorch