menghaoguo / awesome-vision-attentions Goto Github PK

@MenghaoGuo @idansc @Gsunshine @PengtaoJiang @uyzhang Can you please provide paper refence for code /spatial_attentions/ocr.py

I guess it is for text recognition with attention but I could not gate any relevant paper in provided paper list.

I want to train the network and check results

Hello, author, I'm a student. I want to use your code for research, but the code in the code folder I downloaded is empty. Can you share with me? My email: [email protected]

It seem that the top date comes from a pre-filled template and is set to:

JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015 1

I guess it is wrong given how recent the paper is.

Hi，it seems that gltr.py is none. What‘s wrong.

Hi Menghao,

Thanks for your great and helpful work. I regard our proposed LIP [1] also as a local attention method designed for the spatial downsampling procedure, whose weights are produced by a lightweight sub-network. Though being designed for spatial downsizing, it still falls in the regime of attention approaches. Could you please consider LIP also as an attention method especially for the pooling procedure?

By the way, the work TAM [2] done by our group is accepted by ICCV 2021. Please consider updating the venue of this paper.

[1] LIP: Local Importance-Based Pooling. ICCV 2019.
[2] TAM: Temporal Adaptive Module for Video Recognition. ICCV 2021.

Hi, nice work! Could you consider adding our paper "DIANet: Dense-and-Implicit Attention Network" ? [paper] [code].

I have a object detection task that requires attention mechanism. If you were asked to recommend one, which one would you recommend?

Congratulations on publishing such a comprehensive paper.

Would be nice to implement some of the methods mentioned therein and package that as a library with a focus on readability.