Stars
A curated list of resources on implicit neural representations.
A curated list of awesome temporal action segmentation resources.
Code for "Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors." (ICLR 2021)
🔥Highlighting the top ML papers every week.
Code release for "Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception" [ICLR 2022]
DepthContrast self-supervised learning for 3D
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
Code to reproduce the results in the FAIR research papers "Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples" https://arxiv.org/abs/…
[CVPR 2021] Adaptive Consistency Regularization for Semi-Supervised Transfer Learning
Unofficial Pytorch code for "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence" in NeurIPS'20. This repo contains reproduced checkpoints.
Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"
Python 3.8+ toolbox for submitting jobs to Slurm
Most popular metrics used to evaluate object detection algorithms.
In-depth tutorials for implementing deep learning models on your own with PyTorch.
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
🐍 Geometric Computer Vision Library for Spatial AI
CharNet: Convolutional Character Networks
NeurIPS 2019 : Learning to Propagate for Graph Meta-Learning
IJCAI 2019 : Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph