(ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"

PyTorch implementation of Learning to Downsample for Segmentation of Ultra-High Resolution Images [ICLR 2022]

Efficient Segmentation: Learning Downsampling Near Semantic Boundaries

PyTorch extensions for fast R&D prototyping and Kaggle farming

This repository contains implementations and illustrative code to accompany DeepMind publications

[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.