| """Results figure: avg relative accuracy vs budget (SPLIT/attn/random + paper), |
| and TextVQA absolute accuracy vs budget (shows random collapse vs SPLIT robustness).""" |
| import json |
| import numpy as np |
| import matplotlib |
| matplotlib.use("Agg") |
| import matplotlib.pyplot as plt |
|
|
| agg = json.load(open("outputs/aggregate.json")) |
| rel = agg["relative_accuracy_avg"] |
| paper = agg["paper_reference"]["SPLIT"] |
| budgets = [192, 128, 64] |
| x = budgets[::-1] |
|
|
| tv = json.load(open("outputs/textvqa_results.json"))["results"] |
| van_tv = tv["vanilla@576"]["accuracy"] |
|
|
| fig, ax = plt.subplots(1, 2, figsize=(13, 4.6)) |
|
|
| |
| def series(m): return [rel[m][str(b)] for b in x] |
| ax[0].plot(x, [paper[str(b)] for b in x], "s--", color="#888", label="SPLIT (paper, 10 bench)") |
| ax[0].plot(x, series("split"), "o-", color="#2D5F8B", lw=2.5, label="SPLIT (ours, 3 bench)") |
| ax[0].plot(x, series("attn"), "^-", color="#C1666B", label="attn-topk (ours)") |
| ax[0].plot(x, series("random"), "v-", color="#9AA0A6", label="random (ours)") |
| ax[0].set_xticks(x); ax[0].invert_xaxis() |
| ax[0].set_xlabel("retained vision tokens"); ax[0].set_ylabel("avg relative accuracy (%)") |
| ax[0].set_title("Avg relative accuracy vs token budget\n(LLaVA-1.5-7B, POPE+TextVQA+ScienceQA)") |
| ax[0].axhline(100, color="k", lw=0.5, ls=":"); ax[0].legend(fontsize=9); ax[0].grid(alpha=0.3) |
|
|
| |
| def tvs(m): return [tv[f"{m}@{b}"]["accuracy"] for b in x] |
| ax[1].axhline(van_tv, color="k", ls=":", lw=1, label=f"vanilla 576 = {van_tv:.1f}") |
| ax[1].plot(x, tvs("split"), "o-", color="#2D5F8B", lw=2.5, label="SPLIT") |
| ax[1].plot(x, tvs("attn"), "^-", color="#C1666B", label="attn-topk") |
| ax[1].plot(x, tvs("random"), "v-", color="#9AA0A6", label="random") |
| ax[1].set_xticks(x); ax[1].invert_xaxis() |
| ax[1].set_xlabel("retained vision tokens"); ax[1].set_ylabel("TextVQA accuracy (%)") |
| ax[1].set_title("TextVQA (OCR, token-sensitive)\nSPLIT robust; random collapses at 64") |
| ax[1].legend(fontsize=9); ax[1].grid(alpha=0.3) |
|
|
| plt.tight_layout() |
| plt.savefig("outputs/fig_relative_accuracy.png", dpi=130, bbox_inches="tight") |
| print("wrote outputs/fig_relative_accuracy.png") |
|
|
