A benchmark dataset and baseline methods for four-dimensional STEM diffraction patterns

arXiv:2609.21593 · cs.CV · Submitted 2026-09-18 · Read on arXiv

cs.CV

Submitted: 2026-09-18

Updated: 2026-09-18

Code: https://github.com/Gaiya69-rgb/4D-ImageNet

Terminology

Benchmark — 10× in this paper · explained in 2 episodes
Pseudo-labels — 7× in this paper · explained in 2 episodes
Accuracy — 4× in this paper · explained in 1 episode
Alignment — 3× in this paper · explained in 1 episode
Representation Learning — 3× in this paper · explained in 2 episodes
Cosine Similarity — 2× in this paper · explained in 3 episodes
Provenance — 2× in this paper · explained in 4 episodes
Transformer — 2× in this paper · explained in 2 episodes
Adam — 1× in this paper · explained in 2 episodes
Adaptation — 1× in this paper · explained in 1 episode
Benchmarking — 1× in this paper · explained in 4 episodes
Commentary — 1× in this paper · explained in 2 episodes
Core — 1× in this paper · explained in 2 episodes
Segmentation Masks — 1× in this paper · explained in 2 episodes
Selection Bias — 1× in this paper · explained in 4 episodes
Verification — 1× in this paper · explained in 2 episodes

Related papers