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Found 8 papers, 6 papers with code
The Manga Whisperer: Automatically Generating Transcriptions for Comics
In the past few decades, Japanese comics, commonly referred to as Manga, have transcended both cultural and linguistic boundaries to become a true worldwide sensation.
The Change You Want to See (Now in 3D)
The goal of this paper is to detect what has changed, if anything, between two "in the wild" images of the same 3D scene acquired from different camera positions and at different temporal instances.
Autonomy and Perception for Space Mining
Future Moon bases will likely be constructed using resources mined from the surface of the Moon.
ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning
We propose a new training algorithm, ScanMix, that explores semantic clustering and semi-supervised learning (SSL) to allow superior robustness to severe label noise and competitive robustness to non-severe label noise problems, in comparison to the state of the art (SOTA) methods.
Ranked #24 on
Image Classification
on mini WebVision 1.0
LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment
Deep neural network models are robust to a limited amount of label noise, but their ability to memorise noisy labels in high noise rate problems is still an open issue.
Ranked #4 on
Image Classification
on Food-101N
EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels
In this work, we study a new variant of the noisy label problem that combines the open-set and closed-set noisy labels, and introduce a benchmark evaluation to assess the performance of training algorithms under this setup.
The Dynamic Travelling Thief Problem: Benchmarks and Performance of Evolutionary Algorithms
Many real-world optimisation problems involve dynamic and stochastic components.
