Author: Deep Learner

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Learning to Detect Mobile Objects from LiDAR Scans Without Labels

This is the official code release for [CVPR 2022] Learning to Detect Mobile Objects from LiDAR Scans Without Labels. by Yurong You*, Katie Z Luo*, Cheng Perng Phoo, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark Campbell, and Kilian Q. Weinberger Paper Abstract Current 3D object detectors for autonomous driving are almost entirely trained on human-annotated data. Although of high quality, the generation of such data is laborious and costly, restricting them to a few specific locations and object types. This […]

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Documentation

LinkBERT: A Knowledgeable Language Model Pretrained with Document Links

This repo provides the model, code & data of our paper: LinkBERT: Pretraining Language Models with Document Links (ACL 2022). @InProceedings{yasunaga2022linkbert, author = {Michihiro Yasunaga and Jure Leskovec and Percy Liang}, title = {LinkBERT: Pretraining Language Models with Document Links}, year = {2022}, booktitle = {Association for Computational Linguistics (ACL)}, } Overview LinkBERT is a new pretrained language model (improvement of BERT) that captures document links such as hyperlinks and citation    

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CVE

Dockerized Spring4Shell (CVE-2022-22965) PoC application and exploit

This is a dockerized application that is vulnerable to the Spring4Shell vulnerability (CVE-2022-22965). Full Java source for the war is provided and modifiable, the war will get re-built whenever the docker image is built. The built WAR will then be loaded by Tomcat. There is nothing special about this application, it’s a simple hello world that’s based off Spring tutorials. Details: https://www.lunasec.io/docs/blog/spring-rce-vulnerabilities Requirements Docker Python3 + requests library Instructions Clone the repository Build and run the container: docker build . […]

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Tokens

Beyond Masking: Demystifying Token-Based Pre-Training for Vision Transformers

beyond masking Beyond Masking: Demystifying Token-Based Pre-Training for Vision Transformers The code is coming Figure 1: Pipeline of token-based pre-training. Figure 2: The visualization of the proposed 5 tasks. main results All the results are pre-trained for 300 epochs using Vit-base as default. zoomed-in zoomed-out distorted blurred de-colorized finetune 82.7 82.5 82.1 81.8 81.4 zoomed-in (a) mask (m) (a)+(m) finetune 82.7 82.9 83.2 We note that the integrated version dose not require    

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Automation

India’s own RPA Platform Python Powered

Welcome to My-AutoPylot , Made in India with ❤️ PyBots is an Indian firm based in Vadodara, Gujarat. My-AutoPylot is a product developed based on Python. Its a RPA framework for developers and common people to create Software BOTs. Using AI, we’re working on Common Man’s RPA. My-AutoPylot is currently supported on Windows only ! (For macOS and Linux : Comming soon.) Windows : My-AutoPylot is compatible with both Windows 10 and Windows 11. Installing on a Windows PC is […]

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CVE

English-ing and cleaning up the alleged 0day dropped 2022-03-29

The README from the alleged appears confirmed! 0day dropped on 2022-03-29 has been translated to English and cleaned up slightly to assist in your analysis and replication. If you manage to create a demo application that folks could use to independently validate and deep-dive, please let me know via GitHub Issues so I can link it! Please note that this is a different issue than CVE-2022-22963! Major cybersecurity news outlets, including ThreatPost, have gotten this fact wrong – and this […]

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Tool

A tool to create pixel-accurate energy diagrams as ChemDraw object

A tool to create pixel-accurate energy diagrams as ChemDraw object. A Chinese version of this article is available. Execution If you don’t have Python environment, there is an executable version (packed by cx_freeze on Windows 10) in the release. Run Draw_Energy_Diagram_XML.exe in the folder. Alternatively, if you have a Python environment with PyQt, openpyxl and matplotlib, call the main script by first cd / dir to the project folder and call: python Draw_Energy_Diagram_XML.py. (On windows, you can also just double […]

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