What Input Resolution Is Required for Bird Species Identification, and What Is Its Latency Cost on an Edge Device? A Study of 14 Input Resolutions and Six Architectures with On-Device Measurements

arXiv:2609.14247 · cs.CV, cs.LG, eess.IV · Submitted 2026-09-13 · Read on arXiv

cs.CV, cs.LG, eess.IV

Submitted: 2026-09-13

Updated: 2026-09-13

Comments: 25 pages, 7 figures, 7 tables. On-device measurements on NVIDIA Jetson Orin Nano (JetPack 6.2, TensorRT 10.3). Data and code: https://doi.org/10.5281/zenodo.22697995

Code: https://github.com/focusnishikawa/bs2026-resolution-artifacts

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Accuracy — 85× in this paper · explained in 1 episode
Distillation — 10× in this paper · explained in 2 episodes
Transformer — 8× in this paper · explained in 2 episodes
Benchmark — 5× in this paper · explained in 2 episodes
Decode — 5× in this paper · explained in 2 episodes
Aperture — 3× in this paper · explained in 1 episode
Fine-Tuning — 3× in this paper · explained in 5 episodes
Robustness — 3× in this paper · explained in 5 episodes
Quantization — 2× in this paper · explained in 12 episodes
Aggregation — 1× in this paper · explained in 1 episode
Edge Deployment — 1× in this paper · explained in 2 episodes
Foundation Model — 1× in this paper · explained in 3 episodes
Foundation Models — 1× in this paper · explained in 7 episodes
Generative AI — 1× in this paper · explained in 2 episodes
Knowledge Distillation — 1× in this paper · explained in 11 episodes
Provenance — 1× in this paper · explained in 4 episodes
Selection Bias — 1× in this paper · explained in 4 episodes
Verification — 1× in this paper · explained in 2 episodes

What Input Resolution Is Required for Bird Species Identification, and What Is Its Latency Cost on an Edge Device? A Study of 14 Input Resolutions and Six Architectures with On-Device Measurements

Terminology

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