Popular GitHub Repositories for Attentive Pooling

This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO

PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)

Diffusion attentive attribution maps for interpreting Stable Diffusion.

A Structured Self-attentive Sentence Embedding

Code for our CVPR2020 paper "Strip Pooling: Rethinking Spatial Pooling for Scene Parsing"

Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)

Hierarchical Graph Pooling with Structure Learning

Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)

Experimental results obtained with the MinCutPool layer as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Pooling"

Unofficial tensorflow implemention of "Attentive Generative Adversarial Network for Raindrop Removal from A Single Image (CVPR 2018) " model https://maybeshewill-cv.github.io/attentive-gan-derainnet/

Code/Model release for NIPS 2017 paper "Attentional Pooling for Action Recognition"

Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tasks. (framework-agnostic)

K-NRM: End-to-End Neural Ad-hoc Ranking with Kernel Pooling

Global-Locally Self-Attentive Dialogue State Tracker

SAFE: Self-Attentive Function Embeddings for binary similarity

TensorFlow Implementation of Neural Attentive Item Similarity Model for Recommendation on TKDE 2018

Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch

Hierarchical Attentive Recurrent Tracking

Spatial Pyramid Pooling on top of AlexNet using tensorflow. ***New updates for SPPnet in Pytorch**

TI-pooling: transformation-invariant pooling for feature learning in Convolutional Neural Networks