105 Open source projects that are alternatives of or similar to form2fit

Whitening for Self-Supervised Representation Learning | Official repository

PASSL包含 SimCLR，MoCo v1/v2，BYOL，CLIP，PixPro，BEiT，MAE等图像自监督算法以及 Vision Transformer，DEiT，Swin Transformer，CvT，T2T-ViT，MLP-Mixer，XCiT，ConvNeXt，PVTv2 等基础视觉算法

Text to abstract art generation for the holidays!

PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in clustering (CVPR2021)

Pytorch Lightning Implementation of SC-Depth (V1, V2...) for Unsupervised Monocular Depth Estimation.

Perception-Aware Trajectory Planner in Dynamic Environments

Self-supervised Spatiotemporal Learning via Video Clip Order Prediction

Vanishing Point Guided Network for lane detection, with post processing

AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

code for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"

code for CVPR-2019 paper: Self-supervised Spatio-temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics

(ROS) Sensor fusion algorithm for camera+lidar.

Official code for "Self-Supervised driven Consistency Training for Annotation Efficient Histopathology Image Analysis" Published in Medical Image Analysis (MedIA) Journal, Oct, 2021.

www.robosherlock.org

Official PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"

Collection of auditory models.

Official project website for the CVPR 2021 paper "Exploring intermediate representation for monocular vehicle pose estimation"

Visual odometry package based on hardware-accelerated NVIDIA Elbrus library with world class quality and performance.

Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

(Minimally) implements SimCLR (https://arxiv.org/abs/2002.05709) in TensorFlow 2.

[RA-L/ICRA2020] Real-time Soft Body 3D Proprioception via Deep Vision-based Sensing

code for AAAI21 paper "Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion“

Repository for Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction (CVPR2019)

Official codes: Self-Supervised Learning by Estimating Twin Class Distribution

Code for our ACML and INTERSPEECH papers: "Speaker Diarization as a Fully Online Bandit Learning Problem in MiniVox".

An open source autonomous driving research platform for Active SLAM & Multisensor Data Fusion

Detect (classify and localize) people, pets and objects using millimeter-wave radar.

No description or website provided.

Parametric Instance Classification for Unsupervised Visual Feature Learning, NeurIPS 2020

Perception of Autonomous mobile robot,Using ROS,rs-lidar-16,By SLAM,Object Detection with Yolov5 Based DNN

Code for paper "Can contrastive learning avoid shortcut solutions?" NeurIPS 2021.

A python implementation for a LogGabor filtering and pyramid representation

Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection, AAAI 2021.

🔬 Scientific computing library for optics 🔭, computer graphics 💻 and visual perception 👀

PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results

GapFlyt: Active Vision Based Minimalist Structure-less Gap Detection For Quadrotor Flight

A library for graph deep learning research

A Parametric Framework to Generate Visual Illusions using Python

A comprehensive list of awesome contrastive self-supervised learning papers.

📄 Spatial Contrastive Learning for Few-Shot Classification (ECML/PKDD 2021).

Code for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"

List of commonly used robotics libraries and packages

[WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"

A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.

Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

[CVPR21] Implementation of our work "Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation"

Official Python/PyTorch Implementation for "All-In-One Drive: A Large-Scale Comprehensive Perception Dataset with High-Density Long-Range Point Clouds"

FisheyeDistanceNet

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

A Fast Knowledge Distillation Framework for Visual Recognition

A catkin workspace in ROS which uses DBSCAN to identify which points in a point cloud belong to the same object.

Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)

3D model exchange format with physical material properties for virtual development, test and validation of automated driving.

Cross-platform, customizable ML solutions for live and streaming media.

Joint Perception and Planning For Efficient Obstacle Avoidance Using Stereo Vision

CVPR 2020, "MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps"

One Person, One Model, One World: Learning Continual User Representation without Forgetting