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60 search results found

Vit Pytorch ⭐ 16,298

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Scenic ⭐ 2,733

Scenic: A Jax Library for Computer Vision Research and Beyond

A Pytorch Tutorial To Image Captioning ⭐ 2,084

Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

Lambda Networks ⭐ 1,110

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

Simplecvreproduction ⭐ 1,021

Replication of simple CV Projects including attention, classification, detection, keypoint detection, etc.

Attentiongan ⭐ 564

AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation

PyTorch source code for "Stacked Cross Attention for Image-Text Matching" (ECCV 2018)

Biformer ⭐ 288

[CVPR 2023] Official code release of our paper "BiFormer: Vision Transformer with Bi-Level Routing Attention"

Vit Keras ⭐ 276

Keras implementation of ViT (Vision Transformer)

Cgnl Network.pytorch ⭐ 253

Compact Generalized Non-local Network (NIPS 2018)

Awesome Visual Representation Learning With Transformers ⭐ 209

Awesome Transformers (self-attention) in Computer Vision

Implementing Vi(sion)T(transformer)

Guided Attention Inference Network ⭐ 187

Contains implementation of Guided Attention Inference Network (GAIN) presented in Tell Me Where to Look(CVPR 2018). This repository aims to apply GAIN on fcn8 architecture used for segmentation.

PyTorch reimplementation of the paper "MaxViT: Multi-Axis Vision Transformer" [arXiv 2022].

[CVPR 2020] Official Implementation: "Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models".

PyTorch code for "SOLAR: Second-Order Loss and Attention for Image Retrieval". In ECCV 2020

Swin Transformer V2 ⭐ 106

PyTorch reimplementation of the paper "Swin Transformer V2: Scaling Up Capacity and Resolution" [CVPR 2022].

Pyanomaly ⭐ 92

Useful Toolbox for Anomaly Detection

Neural Vqa Attention ⭐ 81

❓ Attention-based Visual Question Answering in Torch

Attend_infer_repeat ⭐ 77

A Tensorfflow implementation of Attend, Infer, Repeat

Natural Language Joint Query Search ⭐ 70

Search photos on Unsplash based on OpenAI's CLIP model, support search with joint image+text queries and attention visualization.

Group Level Emotion Recognition ⭐ 67

Model submitted for the ICMI 2018 EmotiW Group-Level Emotion Recognition Challenge

Predicting the Driver’s Focus of Attention: the DR(eye)VE Project. A deep neural network learnt to reproduce the human driver focus of attention (FoA) in a variety of real-world driving scenarios.

“Learning Deep Global Multi-scale and Local Attention Features for Facial Expression Recognition in the Wild”, IEEE T-IP, 2021.

Visual Transformer Paper Summary ⭐ 57

Summary of Transformer applications for computer vision tasks.

How To Train Your Neural Net ⭐ 55

Deep learning research implemented on notebooks using PyTorch.

Efficient Attention ⭐ 48

An implementation of the efficient attention module.

Cova Web Object Detection ⭐ 37

A Context-aware Visual Attention-based training pipeline for Object Detection from a Webpage screenshot!

AtLoc: Attention Guided Camera Localization

Ganvinci ⭐ 33

Photorealistic human image editing with GANs - Reimplementation of the paper "FEAT: Face Editing with Attention" with additional changes and improvements.

Swint Charm ⭐ 33

TensorFlow implementation of SwinT-ChARM (Transformer-Based Transform Coding, ICLR 2022)

Swin Transformers Tf ⭐ 22

Implementation of Swin Transformers in TensorFlow along with converted pre-trained models, code for off-the-shelf classification and fine-tuning.

Reproducibilty Challenge Ecanet ⭐ 22

Unofficial Implementation of ECANets (CVPR 2020) for the Reproducibility Challenge 2020.

Vision_transformers ⭐ 21

Vision Transformers for image classification, image segmentation, and object detection.

Gcvit Tf ⭐ 20

Tensorflow 2.0 Implementation of GCViT: Global Context Vision Transformer

This repository is the code of paper "Multi-scale Adaptive Task Attention Network for Few-Shot Learning (ICPR-2022)".

Object And Semantic Part Detection Pytorch ⭐ 18

Joint detection of Object and its Semantic parts using Attention-based Feature Fusion on PASCAL Parts 2010 dataset

Lfattnet ⭐ 18

Attention-based View Selection Networks for Light-field Disparity Estimation

Show Attend And Tell ⭐ 18

A PyTorch implementation of the paper Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

Attentionocr ⭐ 17

Attention OCR in Tensorflow 2.0

Pytorch_d Rise ⭐ 16

A PyTorch implementation of D-RISE

Whitebox Part1 ⭐ 16

In this part, i've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)

Rl Lang Ground ⭐ 16

Tensorflow code for WACV 2019 paper "Attention Based Natural Language Grounding by Navigating Virtual Environment" - https://arxiv.org/abs/1804.08454

Semantics-guided Part Attention Network (ECCV 2020 Oral)

Svam Net ⭐ 14

Saliency-guided Visual Attention Modeling. #RSS2022 #SOD #RobotVision

Image Captioning ⭐ 12

Implemented 3 different architectures to tackle the Image Caption problem, i.e, Merged Encoder-Decoder - Bahdanau Attention - Transformers

Deep Learning Sota ⭐ 11

State-of-the-art results for deep learning tasks in various fields.

360 video Head and Eye movement prediction framework with two-stream models

Reading List ⭐ 9

Reading list for deep learning in Computer Vision and Medical Image Analysis

Computer Vision ⭐ 9

Find the implementation of Computer vision-based projects with Python, Deep Learning, and OpenCV

Youtube8m 19 ⭐ 9

The 3rd YouTube-8M Video Understanding Challenge 2019

Cyclegan With Self Attention ⭐ 8

In this repository, I have developed a CycleGAN architecture with embedded Self-Attention Layers, that could solve three different complex tasks. Here the same principle Neural Network architecture has been used to solve the three different task. Although truth be told, my model has not exceeded any state of the art performances for the given task, but the architecture was powerful enough to understand the task that has been given to solve and produce considerably good results.

Stacked Attention Networks For Visual Question Answering ⭐ 7

Implementation of the paper "Stacked Attention Networks for Image Question Answering" in Tensorflow

Awesome Tokenmixer Pytorch ⭐ 7

Pytorch implementation of various token mixers; Attention Mechanisms, MLP, and etc for understanding computer vision papers and other tasks.

Attention In Vision ⭐ 7

PyTorch implementation of popular attention mechanisms in vision

Attenscriptnetpr ⭐ 6

This repository contains the codes and instructions to use the trained models for all the four datasets described in the paper : 'Script Identification in Natural Scene Image and Video Frame using Attention based Convolutional-LSTM Network'

Summaries of machine learning papers

Attentiondeeplabv3p ⭐ 5

Attention Deeplabv3+: Multi-level Context Attention Mechanism for Skin Lesion Segmentation

Speech Recognition Toolkit

Visual_attention ⭐ 5

Visual_Attention

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