Open source differentiable computer vision library for PyTorch
open source differentiable computer vision library for PyTorch
A set of packages for computer vision built on top of popular deep learning libraries
A set of packages for computer vision built on top of popular deep learning libraries
Towards Flexible Blind JPEG Artifacts Removal in python
Towards Flexible Blind JPEG Artifacts Removal in python
Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer
Official implement of Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer
Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers
Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers
Line as a Visual Sentence: Context-aware Line Descriptor for Visual Localization
This repository contains the inference code, pretrained model, and demo scripts of the following paper.
Out-of-boundary View Synthesis towards Full-frame Video Stabilization
Out-of-boundary View Synthesis towards Full-frame Video Stabilization
Interface with Roboflow in Python
Roboflow makes managing, preprocessing, augmenting, and versioning datasets for computer vision seamless.
M3D-VTON: A Monocular-to-3D Virtual Try-on Network
M3D-VTON: A Monocular-to-3D Virtual Try-on Network
Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning
Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning
Few-shot Visual Relationship Co-localization in python
Few-shot Visual Relationship Co-localization in python
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification
ConvMLP: Hierarchical Convolutional MLPs for Vision
ConvMLP: Hierarchical Convolutional MLPs for Vision
A virtual picture dragging application in python
A virtual picture dragging application in python
A PyTorch library for Vision Transformers
A PyTorch library for Vision Transformers
CMT: Convolutional Neural Networks Meet Vision Transformers
CMT: Convolutional Neural Networks Meet Vision Transformers
Bridging Vision and Language Model
Bridging Vision and Language Model
Planar Surface Reconstruction from Sparse Views
Planar Surface Reconstruction from Sparse Views
An easy-to-use generalized deep metric learning library
GeDML is an easy-to-use generalized deep metric learning library
Searching for Efficient Multi-Stage Vision Transformers in Pytorch
This repository contains the official Pytorch implementation of "Searching for Efficient Multi-Stage Vision Transformers" and is based on DeiT and timm.
Prototype for Baby Action Detection and Classification
An attempt to harness the power of Deep Learning to come up with a solution that can let us detect various classes of activities an infant,
Dual-Camera Super-Resolution with Aligned Attention Modules
Implementation for our ICCV 2021 paper: Dual-Camera Super-Resolution with Aligned Attention Modules
Realtime Face Anti Spoofing with Face Detector based on Deep Learning using Tensorflow/Keras and OpenCV
Realtime Face Anti Spoofing Detection with Face Detector to detect real and fake faces
SAF-FCOS: Spatial Attention Fusion for Obstacle Detection using MmWave Radar and Vision Sensor
SAF-FCOS: Spatial Attention Fusion for Obstacle Detection using MmWave Radar and Vision Sensor
Blind Image Decomposition (BID) and Blind Image Decomposition network (BIDeN)
Blind Image Decomposition is a novel task.
Self-Calibrating Neural Radiance Fields, ICCV, 2021
In this work, we propose a camera self-calibration algorithm for generic cameras with arbitrary non-linear distortions.
NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo
NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo
Quickly and easily create / train a custom DeepDream model
This project aims to simplify the process of creating a custom DeepDream model by using pretrained GoogleNet models and custom image datasets.
A PyTorch implementation of DeepDream based on neural-style-pt
This is a PyTorch implementation of DeepDream. The code is based on neural-style-pt.
PCV: A pure Python library for computer vision
PCV is a pure Python library for computer vision based on the book “Programming Computer Vision with Python” by Jan Erik Solem.
Deep Visual Odometry with Long Term Place Recognition in python
This repo implements a topological SLAM system. Deep Visual Odometry (DF-VO) and Visual Place Recognition are combined to form the topological SLAM system.
Physion: Evaluating Physical Prediction from Vision in Humans and Machines
Official implementation of particle-based models (GNS and DPI-Net) on the Physion dataset.
State-of-the-art Visual Transformer and MLP Models for PaddlePaddle
State-of-the-art Visual Transformer and MLP Models for PaddlePaddle
An implementation of a grammar of graphics in Python
plotnine is an implementation of a grammar of graphics in Python, it is based on ggplot2.
LLVIP: A Visible-infrared Paired Dataset for Low-light Vision
LLVIP: A Visible-infrared Paired Dataset for Low-light Vision
The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation
The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation
The Open Source Framework for Machine Vision using Python
Make computers see with SimpleCV, the Open Source Framework for Computer Vision
A differentiable computer vision library for PyTorch
Kornia is a differentiable computer vision library for PyTorch
An easier way to build neural search on the cloud
An easier way to build neural search on the cloud
Neural Message Passing for Quantum Chemistry
Implementation of different models of Neural Networks on graphs as explained in the article proposed by Gilmer et al.
Neural Turing Machine & Differentiable Neural Computer with pytorch
Neural Turing Machine (NTM) & Differentiable Neural Computer (DNC) with pytorch & visdom
A new approach to image recognition that reaches SOTA with less compute
Implementation of λ Networks, a new approach to image recognition that reaches SOTA on ImageNet.
Pip install antialiased-cnns to improve stability and accuracy
Making Convolutional Networks Shift-Invariant Again
Prototypical Pseudo Label Denoising and Target Structure Learning
Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation
Deep Unsupervised 3D SfM Face Reconstruction Based on Massive Landmark Bundle Adjustment
(ACMMM 2021 Oral) SfM Face Reconstruction Based on Massive Landmark Bundle Adjustment
CvT: Introducing Convolutions to Vision Transformers
PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers
Rethinking Spatial Dimensions of Vision Transformers
Rethinking Spatial Dimensions of Vision Transformers
Focal Self-attention for Local-Global Interactions in Vision Transformers
Focal Self-attention for Local-Global Interactions in Vision Transformers
Exploring Classification Equilibrium in Long-Tailed Object Detection
The conventional detectors tend to make imbalanced classification and suffer performance drop, when the distribution of the training data is severely skewed.
TOOD: Task-aligned One-stage Object Detection
TOOD: Task-aligned One-stage Object Detection (ICCV 2021 Oral)