To answer this question, we present Y ou Only Look at One Sequence (YOLOS), a series of object detection models based on the vanilla Vision Transformer with the fewest possible modifications, region priors, as well as inductive biases of the target task.

Everybody Is Unique: Towards Unbiased Human Mesh Recovery.

There are two operations in our data augmentation pipeline that changes the scale or layout of the image, i.e ., random resized crop and random horizontal flip. This is followed by a resize operation to recover the intersect part to the original size ( e.g ., RoIAlign to recover the original spatial layout. The total stride is 16 (FCN-16s [20]). Intuitively, each prototype can be viewed as the cluster center of a semantic class. During inference, we only take the teacher model parameterized by ξ .