Self-Supervised Pre-Training for Transformer-Based Person Re-Identification [pdf]
The official repository for Self-Supervised Pre-Training for Transformer-Based Person Re-Identification. Code and model will be uploaded when ready.
Self-Supervised Pre-Training for Transformer-Based Person Re-Identification
Overview
DanceTrack: Multiple Object Tracking in Uniform Appearance and Diverse Motion
DanceTrack DanceTrack is a benchmark for tracking multiple objects in uniform appearance and diverse motion. DanceTrack provides box and identity anno
260 Dec 28, 2022
This is a vision-based 3d model manipulation and control UI
Manipulation of 3D Models Using Hand Gesture This program allows user to manipulation 3D models (.obj format) with their hands. The project support bo
43 Oct 23, 2022
This is the code repository implementing the paper "TreePartNet: Neural Decomposition of Point Clouds for 3D Tree Reconstruction".
TreePartNet This is the code repository implementing the paper "TreePartNet: Neural Decomposition of Point Clouds for 3D Tree Reconstruction". Depende
34 Nov 30, 2022
Data reduction pipeline for KOALA on the AAT.
KOALA KOALA, the Kilofibre Optical AAT Lenslet Array, is a wide-field, high efficiency, integral field unit used by the AAOmega spectrograph on the 3.
4 Sep 26, 2022
PyTorch implementation of our ICCV2021 paper: StructDepth: Leveraging the structural regularities for self-supervised indoor depth estimation
StructDepth PyTorch implementation of our ICCV2021 paper: StructDepth: Leveraging the structural regularities for self-supervised indoor depth estimat
112 Nov 28, 2022
Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch
Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch
1.4k Dec 29, 2022
SuperSonic, a new open-source framework to allow compiler developers to integrate RL into compilers easily, regardless of their RL expertise
Automating reinforcement learning architecture design for code optimization. Che
113 Nov 28, 2022
Official repo of the paper "Surface Form Competition: Why the Highest Probability Answer Isn't Always Right"
Surface Form Competition This is the official repo of the paper "Surface Form Competition: Why the Highest Probability Answer Isn't Always Right" We p
46 Dec 23, 2022
Pytorch implementation of the paper DocEnTr: An End-to-End Document Image Enhancement Transformer.
DocEnTR Description Pytorch implementation of the paper DocEnTr: An End-to-End Document Image Enhancement Transformer. This model is implemented on to
74 Jan 07, 2023
Colab notebook and additional materials for Python-driven analysis of redlining data in Philadelphia
RedliningExploration The Google Colaboratory file contained in this repository contains work inspired by a project on educational inequality in the Ph
1 Jan 20, 2022
Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(2021) paper
ImageNet-21K Pretraining for the Masses Paper | Pretrained models Official PyTorch Implementation Tal Ridnik, Emanuel Ben-Baruch, Asaf Noy, Lihi Zelni
574 Jan 02, 2023
This is a repository for a Semantic Segmentation inference API using the Gluoncv CV toolkit
BMW Semantic Segmentation GPU/CPU Inference API This is a repository for a Semantic Segmentation inference API using the Gluoncv CV toolkit. The train
56 Nov 24, 2022
Official code of "R2RNet: Low-light Image Enhancement via Real-low to Real-normal Network."
R2RNet Official code of "R2RNet: Low-light Image Enhancement via Real-low to Real-normal Network." Jiang Hai, Zhu Xuan, Ren Yang, Yutong Hao, Fengzhu
77 Dec 24, 2022
Out of Distribution Detection on Natural Adversarial Examples
OOD-on-NAE Research project on out of distribution detection for the Computer Vision course by Prof. Rob Fergus (CSCI-GA 2271) Paper out on arXiv - ht
1 Jun 08, 2022
Convert game ISO and archives to CD CHD for emulation on Linux.
tochd Convert game ISO and archives to CD CHD for emulation. Author: Tuncay D. Source: https://github.com/thingsiplay/tochd Releases: https://github.c
20 Jan 02, 2023
A Pytorch implementation of "LegoNet: Efficient Convolutional Neural Networks with Lego Filters" (ICML 2019).
LegoNet This code is the implementation of ICML2019 paper LegoNet: Efficient Convolutional Neural Networks with Lego Filters Run python train.py You c
140 Sep 26, 2022
Drone detection using YOLOv5
This drone detection system uses YOLOv5 which is a family of object detection architectures and we have trained the model on Drone Dataset. Overview I
27 Dec 20, 2022
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
What's New Below we share, in reverse chronological order, the updates and new releases in VISSL. All VISSL releases are available here. [Oct 2021]: V
2.9k Jan 07, 2023
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Kalman and Bayesian Filters in Python Introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written
13k Dec 29, 2022
Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations
TopClus The source code used for Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations, published in WWW 2022. Requ
63 Dec 18, 2022