376 Open source projects that are alternatives of or similar to lowshot-shapebias

Metrics for model evaluation in pytorch

Efficient Online Transfer Learning for 3D Object Detection in Autonomous Driving

Pytorch implementation of Self-Organizing Map(SOM). Use MNIST dataset as a demo.

Creating real-time dynamic Point Clouds using PyQtGraph, Kinect 2 and the python library PyKinect2.

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

Improved Deep Point Cloud Geometry Compression

Official Pytorch implementation for 2021 ICCV paper "Learning Motion Priors for 4D Human Body Capture in 3D Scenes" and trained models / data

[CVPR 2020] Normal Assisted Stereo Depth Estimation

Projects related to computer vision and image processing.

Code for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]

This is a costmap plugin for costmap_2d pkg. This plugin supports multiple depth cameras and run in real time.

😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks

This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning

ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

AdaSpeech: Adaptive Text to Speech for Custom Voice

Superpixel-based semantic segmentation, with object pose estimation and tracking. Provided as a ROS package.

SoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification - ECCV 2020 oral

Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound

Context-Transformer: Tackling Object Confusion for Few-Shot Detection, AAAI 2020

Augmentation package for 3d data based on albumentaitons

Pytorch implementation of Feature Generation for Long-Tail Classification by Rahul Vigneswaran, Marc T Law, Vineeth N Balasubramaniam and Makarand Tapaswi

[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.

The official code for “DocTr: Document Image Transformer for Geometric Unwarping and Illumination Correction”, ACM MM, Oral Paper, 2021.

Code base for M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers

CVPR 2020 papers focusing on point cloud analysis

Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection

Standard federated learning implementations in FedLab and FL benchmarks.

Learning Convolutional Transforms for Point Cloud Geometry Compression

Mix3D: Out-of-Context Data Augmentation for 3D Scenes (3DV 2021 Oral)

Edge-detection application with PointCloud Library

Codes for ACL-IJCNLP 2021 Paper "Zero-shot Fact Verification by Claim Generation"

An open source deep learning platform that provides a seamless path from research prototyping to production deployment

experimenting with differentiable models of morphogenesis 🔬 🦠

VNet for 3d volume segmentation

ECCV 2020 papers focusing on point cloud analysis

Official version of 'Weakly Supervised 3D object detection from Lidar Point Cloud'(ECCV2020)

Official pytorch implementation of the paper: "A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection"

A curated list of papers, code and resources pertaining to few-shot image generation.

An unofficial toy implementation for NVAE 《A Deep Hierarchical Variational Autoencoder》

Implementation of Relation Network and Recurrent Relational Network using PyTorch v1.3. Original papers: (RN) https://arxiv.org/abs/1706.01427 (RRN): https://arxiv.org/abs/1711.08028

[ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOTA results for ZSL and GZSL

Matching Networks for one-shot learning in tensorflow (NIPS'16)

A non-official 100% PyTorch implementation of META-DATASET benchmark for few-shot classification

Baseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020)

Implementation of Resnet-50 with and without CBAM in PyTorch v1.8. Implementation tested on Intel Image Classification dataset from https://www.kaggle.com/puneet6060/intel-image-classification.

This is the official repository of the open-source Open Infra Platform software (as of April 2020).

[AAAI 2020] Code release for "Domain Conditioned Adaptation Network" https://arxiv.org/abs/2005.06717

Extension of RealSense Unity Wrapper [Unofficial]

PyTorch implementation of EfficientNetV2 family

[ICCV'21] Official PyTorch implementation of Relational Embedding for Few-Shot Classification

Point Cloud Compression used in i3s Scene Layer Format

Code for the ACL 19 paper "Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards"

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

The PyTorch Implementation of F-ConvNet for 3D Object Detection

Code and data of ACL 2021 paper "Few-NERD: A Few-shot Named Entity Recognition Dataset"

Few-Shot-Intent-Detection includes popular challenging intent detection datasets with/without OOS queries and state-of-the-art baselines and results.

Its a social networking chat-bot trained on Reddit dataset . It supports open bounded queries developed on the concept of Neural Machine Translation. Beware of its being sarcastic just like its creator 😝 BDW it uses Pytorch framework and Python3.

LPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment Analysis, ICCV 2019, Seoul, Korea

PyTorch implementation of the paper: Vector Projection Network for Few-shot Slot Tagging in Natural Language Understanding. Su Zhu, Ruisheng Cao, Lu Chen and Kai Yu.