Multi-Scale Fruit Capsules: Dilated Convolutions and Dynamic Routing for In-the-Wild Explainable Fruit Recognition

arXiv:2608.21454 · cs.CV · Submitted 2026-08-20 · Read on arXiv

cs.CV

Submitted: 2026-08-20

Updated: 2026-09-20

Terminology

Accuracy — 8× in this paper · explained in 1 episode
Adam — 6× in this paper · explained in 2 episodes
Benchmark — 5× in this paper · explained in 2 episodes
Bayesian Optimization — 4× in this paper · explained in 3 episodes
Ablation — 2× in this paper · explained in 1 episode
Feature Selection — 2× in this paper · explained in 4 episodes
Aggregation — 1× in this paper · explained in 1 episode
Alignment — 1× in this paper · explained in 1 episode
Clustering — 1× in this paper · explained in 2 episodes
Convolutional Neural Networks (CNNs) — 1× in this paper · explained in 2 episodes
Core — 1× in this paper · explained in 2 episodes
Distillation — 1× in this paper · explained in 2 episodes
Edge Deployment — 1× in this paper · explained in 2 episodes
Explainability — 1× in this paper · explained in 3 episodes
Hybrid Approach — 1× in this paper · explained in 4 episodes
Knowledge Distillation — 1× in this paper · explained in 11 episodes
Provenance — 1× in this paper · explained in 3 episodes
Regularization — 1× in this paper · explained in 3 episodes
Transformer — 1× in this paper · explained in 2 episodes