Shanghai Artificial Intelligence Laboratory

Object Detection in 20 Years: A Survey

Object detection, as of one the most fundamental and challenging problems in computer vision, has received great attention in recent years. Over the past two decades, we have se...

PVT v2: Improved baselines with pyramid vision transformer

Transformer recently has presented encouraging progress in computer vision.\nIn this work, we present new baselines by improving the original Pyramid Vision\nTransformer (PVT v1...

Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data

Though many attempts have been made in blind super-resolution to restore low-resolution images with unknown and complex degradations, they are still far from addressing general ...

BEVFormer: Learning Bird’s-Eye-View Representation from Multi-camera Images via Spatiotemporal Transformers