sa-uta11-results VS tcow

Compare sa-uta11-results vs tcow and see what are their differences.

sa-uta11-results

📈 [CHI 2023] Results of the statistical analysis applied to the UTA11 guide. (by MIMBCD-UI)
statistical-analysis human-computer-interaction user-interface user-centered-design Artificial intelligence Dataset Research explainable-ai breast-cancer medical-imaging Deep Learning chi2023
Source Code
mimbcd-ui.github.io
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tcow

Tracking through Containers and Occluders in the Wild (CVPR 2023) - Official Implementation (by basilevh)
Artificial intelligence Computer Vision containment Dataset Deep Learning Machine Learning object-permanence occlusion Research Tracking video-object-segmentation cvpr cvpr2023
Source Code
tcow.cs.columbia.edu
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sa-uta11-results tcow
3 1
1 37
- -
5.3 3.9
about 1 year ago 11 months ago
HTML Python
GNU General Public License v3.0 or later MIT License
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sa-uta11-results

Posts with mentions or reviews of sa-uta11-results. We have used some of these posts to build our list of alternatives and similar projects.

tcow

Posts with mentions or reviews of tcow. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing sa-uta11-results and tcow you can also consider the following projects:

dataset-uta4-dicom - [AVI 2020] UTA4: Medical Imaging DICOM files dataset.

rtdl - Research on Tabular Deep Learning [Moved to: https://github.com/yandex-research/rtdl]

stripnet - STriP Net: Semantic Similarity of Scientific Papers (S3P) Network

tiddlyresearch - Local and Anki-compatible note-taking tool based on TiddlyWiki

deep-learning-drizzle - Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Amber-Heard_Disinformation_Operations_Bots - Amber Heard Social Network Analysis of Disinformation/Influence Operations, Bots, & Crime Across-Platforms. - Twitter, Reddit, YouTube, Instagram, Change.org, Facebook, Tumblr, TikTok. To create Foundations to Help victims of bots, cyberabuse, domestic abuse, coercive control, crime, & disinformation operations. We want to Save Lives & help partners create systems to help online - including specialized and accurate rescue, quality custom, data analysis, social network analysis, forensics, research, and public safety technologies - with focus on the victim primarily & her environment.

sa-uta11-results vs dataset-uta4-dicom tcow vs rtdl sa-uta11-results vs stripnet sa-uta11-results vs tiddlyresearch sa-uta11-results vs deep-learning-drizzle sa-uta11-results vs Amber-Heard_Disinformation_Operations_Bots