Very simple multi-layer perceptron (also called FFN)

This is a more standard version of the position embedding, very similar to the one used by the Attention is all you need paper, generalized t

Computes and stores the average and current value.

Transformer blocks with support of window attention and residual propagation blocks

Contrastive Head for YOLO-World compute the region-text scores according to the similarity between image and text features Args: e

Very simple multi-layer perceptron (also called FFN)

Image to Patch Embedding.

The standard bottleneck residual block without the last activation layer. It contains 3 conv layers with kernels 1x1, 3x3, 1x1.

This module implements Vision Transformer (ViT) backbone in :paper:`vitdet`. "Exploring Plain Vision Transformer Backbones for Object Detecti

Abstract base class for network backbones.

A LayerNorm variant, popularized by Transformers, that performs point-wise mean and variance normalization over the channel dimension for inp

This module implements SimpleFeaturePyramid in :paper:`vitdet`. It creates pyramid features built on top of the input feature map.

This class takes as input a set of embeddings of dimension C1 and outputs a set of embedding of dimension C2, after a linear transformation,