Summary of K-origins: Better Colour Quantification For Neural Networks, by Lewis Mason et al.
K-Origins: Better Colour Quantification for Neural Networksby Lewis Mason, Mark MartinezFirst submitted to arxiv on:…
K-Origins: Better Colour Quantification for Neural Networksby Lewis Mason, Mark MartinezFirst submitted to arxiv on:…
Study of Dropout in PointPillars with 3D Object Detectionby Xiaoxiang Sun, Geoffrey FoxFirst submitted to…
Real-Time Weather Image Classification with SVMby Eden Ship, Eitan Spivak, Shubham Agarwal, Raz Birman, Ofer…
microYOLO: Towards Single-Shot Object Detection on Microcontrollersby Mark Deutel, Christopher Mutschler, Jürgen TeichFirst submitted to…
TraIL-Det: Transformation-Invariant Local Feature Networks for 3D LiDAR Object Detection with Unsupervised Pre-Trainingby Li Li,…
A Closer Look at Data Augmentation Strategies for Finetuning-Based Low/Few-Shot Object Detectionby Vladislav Li, Georgios…
A Lightweight Modular Framework for Low-Cost Open-Vocabulary Object Detection Trainingby Bilal Faye, Binta Sow, Hanane…
Generative AI in Industrial Machine Vision – A Reviewby Hans Aoyang Zhou, Dominik Wolfschläger, Constantinos…
Leveraging Superfluous Information in Contrastive Representation Learningby Xuechu YuFirst submitted to arxiv on: 19 Aug…
PADetBench: Towards Benchmarking Physical Attacks against Object Detectionby Jiawei Lian, Jianhong Pan, Lefan Wang, Yi…