Pyramid Pooling Transformer for Scene Understanding

Related tags

Deep LearningP2T
Overview

Pyramid Pooling Transformer for Scene Understanding

Requirements:

  • torch 1.6+
  • torchvision 0.7.0
  • timm==0.3.2
  • Validated on torch 1.6.0, torchvision 0.7.0

Models Pretrained on ImageNet1K

Variants Input Size [email protected] [email protected] #Params (M) Pretrained Models
P2T-Tiny 224 x 224 78.1 94.1 11.1 Google Drive
P2T-Small 224 x 224 82.1 95.9 23.0 Google Drive
P2T-Base 224 x 224 83.0 96.2 36.2 Google Drive

Pretrained Models for Downstream tasks

To be updated.

Something Else

Note: we have prepared a stronger version of P2T. Since P2T is still in peer review, we will release the stronger P2T after the acceptance.

You might also like...
Neural Scene Graphs for Dynamic Scene (CVPR 2021)
Neural Scene Graphs for Dynamic Scene (CVPR 2021)

Implementation of Neural Scene Graphs, that optimizes multiple radiance fields to represent different objects and a static scene background. Learned representations can be rendered with novel object compositions and views.

null 151 Dec 26, 2022
A weakly-supervised scene graph generation codebase. The implementation of our CVPR2021 paper ``Linguistic Structures as Weak Supervision for Visual Scene Graph Generation''
A weakly-supervised scene graph generation codebase. The implementation of our CVPR2021 paper ``Linguistic Structures as Weak Supervision for Visual Scene Graph Generation''

README.md shall be finished soon. WSSGG 0 Overview 1 Installation 1.1 Faster-RCNN 1.2 Language Parser 1.3 GloVe Embeddings 2 Settings 2.1 VG-GT-Graph

Keren Ye 35 Nov 20, 2022
Automatic number plate recognition using tech: Yolo, OCR, Scene text detection, scene text recognation, flask, torch
Automatic number plate recognition using tech: Yolo, OCR, Scene text detection, scene text recognation, flask, torch

Automatic Number Plate Recognition Automatic Number Plate Recognition (ANPR) is the process of reading the characters on the plate with various optica

Meftun AKARSU 52 Dec 22, 2022
Pytorch implementation of Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors
Pytorch implementation of Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors

Make-A-Scene - PyTorch Pytorch implementation (inofficial) of Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors (https://arxiv.org/

Casual GAN Papers 259 Dec 28, 2022
Code for
Code for "Learning the Best Pooling Strategy for Visual Semantic Embedding", CVPR 2021

Learning the Best Pooling Strategy for Visual Semantic Embedding Official PyTorch implementation of the paper Learning the Best Pooling Strategy for V

Jiacheng Chen 106 Jan 6, 2023
Source code for paper "Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling", AAAI 2021

ATLOP Code for AAAI 2021 paper Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling. If you make use of this co

Wenxuan Zhou 146 Nov 29, 2022
This repository is an open-source implementation of the ICRA 2021 paper: Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling.
This repository is an open-source implementation of the ICRA 2021 paper: Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling.

Locus This repository is an open-source implementation of the ICRA 2021 paper: Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order

Robotics and Autonomous Systems Group 96 Dec 15, 2022
Compact Bilinear Pooling for PyTorch

Compact Bilinear Pooling for PyTorch. This repository has a pure Python implementation of Compact Bilinear Pooling and Count Sketch for PyTorch. This

Grégoire Payen de La Garanderie 234 Dec 7, 2022
A Pytorch Implementation for Compact Bilinear Pooling.

CompactBilinearPooling-Pytorch A Pytorch Implementation for Compact Bilinear Pooling. Adapted from tensorflow_compact_bilinear_pooling Prerequisites I

null 169 Dec 23, 2022
Comments
  • How to load ImageNet1K pretrained weight to semantic segmentation model?

    How to load ImageNet1K pretrained weight to semantic segmentation model?

    Hello, thanks for open source!

    I use mmseg, and load weight from image classification result, it warns: WARNING - The model and loaded state dict do not match exactly missing keys in source state_dict: backbone.head.weight, backbone.head.bias unexpected key in source state_dict: cls_token, ln1.bias, ln1.weight, layers.0.ln1.bias, layers.0.ln1.weight, layers.0.ln2.bias, layers.0.ln2.weight, layers.0.ffn.layers.0.0.bias, layers.0.ffn.layers.0.0.weight, layers.0.ffn.layers.1.bias, layers.0.ffn.layers.1.weight, layers.0.attn.attn.out_proj.bias, layers.0.attn.attn.out_proj.weight, layers.0.attn.attn.in_proj_bias, layers.0.attn.attn.in_proj_weight, layers.1.ln1.bias, layers.1.ln1.weight, layers.1.ln2.bias, layers.1.ln2.weight, layers.1.ffn.layers.0.0.bias, layers.1.ffn.layers.0.0.weight, layers.1.ffn.layers.1.bias, layers.1.ffn.layers.1.weight, layers.1.attn.attn.out_proj.bias, layers.1.attn.attn.out_proj.weight ...... And the experimental results are terrible as the experiments initialize weight with random.

    So I load weight from ADE20K result, it work and warns: WARNING - The model and loaded state dict do not match exactly missing keys in source state_dict: backbone.head.weight, backbone.head.bias And the result is similar to the result you offer.

    Which weight should I load? ImageNet1K or ADE20K? Or should I modify the keys of weight in ImageNet1K to adapt the key in segmentation?

    opened by asd123pwj 8
  • Questions about your ablation studies

    Questions about your ablation studies

    Hello,

    I have some questions about your ablation studies of pyramid pooling. Could you detail about your baseline version in Table 9? First, you say that you replace P-MHSA with an MHSA with a single pooling operation, what is the detail about single pooling operation? Ex: Pooling Ratios? Second, do you compared your method with original MHSA?

    opened by pp00704831 3
  • P2T replaces PVT trunk bug

    P2T replaces PVT trunk bug

    When I replaced the PVT trunk with P2T in my code, I encountered an error ：
    RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation: [torch.cuda.FloatTensor [16, 512, 3, 3]], which is output 0 of AdaptiveAvgPool2DBackward, is at version 1; expected version 0 instead. Hint: enable anomaly detection to find the operation that failed to compute its gradient, with torch.autograd.set_detect_anomaly(True).

    opened by liu-tianxiang 2
  • P2T on ImageNet-22K?

    P2T on ImageNet-22K?

    Hi @yuhuan-wu , thank you for share the code of this excellent work! Have you trained P2T on ImageNet-22K dataset or any further plan to do it? If so, could you please share the pretrained model on ImageNet-22k?

    Thank you.

    opened by fyaft2012 1
Owner
Yu-Huan Wu
Ph.D. student at Nankai University
Yu-Huan Wu
GitHub Repository
TransVTSpotter: End-to-end Video Text Spotter with Transformer

TransVTSpotter: End-to-end Video Text Spotter with Transformer Introduction A Multilingual, Open World Video Text Dataset and End-to-end Video Text Sp

weijiawu 66 Dec 26, 2022
Expert Finding in Legal Community Question Answering

Expert Finding in Legal Community Question Answering Arian Askari, Suzan Verberne, and Gabriella Pasi. Expert Finding in Legal Community Question Answ

Arian Askari 3 Oct 31, 2022
Hypercomplex Neural Networks with PyTorch

HyperNets Hypercomplex Neural Networks with PyTorch: this repository would be a container for hypercomplex neural network modules to facilitate resear

Eleonora Grassucci 21 Dec 27, 2022
Custom IMDB Dataset is extracted between 2020-2021 and custom distilBERT model is trained for movie success probability prediction

IMDB Success Predictor Project involves Web Scraping custom IMDB data between 2020 and 2021 of 10000 movies and shows sorted by number of votes ,fine

Gautam Diwan 1 Jan 18, 2022
Advanced Deep Learning with TensorFlow 2 and Keras (Updated for 2nd Edition)

Advanced Deep Learning with TensorFlow 2 and Keras (Updated for 2nd Edition)

Packt 1.5k Jan 03, 2023
Meta Learning for Semi-Supervised Few-Shot Classification

few-shot-ssl-public Code for paper Meta-Learning for Semi-Supervised Few-Shot Classification. [arxiv] Dependencies cv2 numpy pandas python 2.7 / 3.5+

Mengye Ren 501 Jan 08, 2023
CC-GENERATOR - A python script for generating CC

CC-GENERATOR A python script for generating CC NOTE: This tool is for Educationa

Lêkzï 6 Oct 14, 2022
Fortuitous Forgetting in Connectionist Networks

Fortuitous Forgetting in Connectionist Networks Introduction This repository includes reference code for the paper Fortuitous Forgetting in Connection

Hattie Zhou 14 Nov 26, 2022
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Super Resolution Examples We run this script under TensorFlow 2.0 and the TensorLayer2.0+. For TensorLayer 1.4 version, please check release. 🚀 🚀 🚀

TensorLayer Community 2.9k Jan 08, 2023
BMN: Boundary-Matching Network

BMN: Boundary-Matching Network A pytorch-version implementation codes of paper: "BMN: Boundary-Matching Network for Temporal Action Proposal Generatio

qinxin 260 Dec 06, 2022
Official repository for "On Improving Adversarial Transferability of Vision Transformers" (2021)

Improving-Adversarial-Transferability-of-Vision-Transformers Muzammal Naseer, Kanchana Ranasinghe, Salman Khan, Fahad Khan, Fatih Porikli arxiv link A

Muzammal Naseer 47 Dec 02, 2022
Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation.

Pretrain-Recsys This is our Tensorflow implementation for our WSDM 2021 paper: Bowen Hao, Jing Zhang, Hongzhi Yin, Cuiping Li, Hong Chen. Pre-Training

30 Nov 14, 2022
Python package to add text to images, textures and different backgrounds

nider Python package for text images generation and watermarking Free software: MIT license Documentation: https://nider.readthedocs.io. nider is an a

Vladyslav Ovchynnykov 131 Dec 30, 2022
For auto aligning, cropping, and scaling HR and LR images for training image based neural networks

ImgAlign For auto aligning, cropping, and scaling HR and LR images for training image based neural networks Usage Make sure OpenCV is installed, 'pip

15 Dec 04, 2022
MultiLexNorm 2021 competition system from ÚFAL

ÚFAL at MultiLexNorm 2021: Improving Multilingual Lexical Normalization by Fine-tuning ByT5 David Samuel & Milan Straka Charles University Faculty of

ÚFAL 13 Jun 28, 2022
unofficial pytorch implement of "Squareplus: A Softplus-Like Algebraic Rectifier"

SquarePlus (Pytorch implement) unofficial pytorch implement of "Squareplus: A Softplus-Like Algebraic Rectifier" SquarePlus Squareplus is a Softplus-L

SeeFun 3 Dec 29, 2021
we propose a novel deep network, named feature aggregation and refinement network (FARNet), for the automatic detection of anatomical landmarks.

Feature Aggregation and Refinement Network for 2D Anatomical Landmark Detection Overview Localization of anatomical landmarks is essential for clinica

aoyueyuan 0 Aug 28, 2022
Unofficial Alias-Free GAN implementation. Based on rosinality's version with expanded training and inference options.

Alias-Free GAN An unofficial version of Alias-Free Generative Adversarial Networks (https://arxiv.org/abs/2106.12423). This repository was heavily bas

dusk (they/them) 75 Dec 12, 2022
Unofficial implementation of the paper: PonderNet: Learning to Ponder in TensorFlow

PonderNet-TensorFlow This is an Unofficial Implementation of the paper: PonderNet: Learning to Ponder in TensorFlow. Official PyTorch Implementation:

1 Oct 23, 2022
QT Py Media Knob using rotary encoder & neopixel ring

QTPy-Knob QT Py USB Media Knob using rotary encoder & neopixel ring The QTPy-Knob features: Media knob for volume up/down/mute with "qtpy-knob.py" Cir

Tod E. Kurt 56 Dec 30, 2022