Although convolutional neural networks (CNNs) have achieved great success in computer vision, this work investigates a simpler, convolution-free backbone network use-fid for man...
We present SegFormer, a simple, efficient yet powerful semantic segmentation\nframework which unifies Transformers with lightweight multilayer perception\n(MLP) decoders. SegFor...
Multi-object tracking (MOT) aims at estimating bounding boxes and identities of objects in videos. Most methods obtain identities by associating detection boxes whose scores are...
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...
h-index: Number of publications with at least h citations each.