| import matplotlib.pyplot as plt |
| import matplotlib.patches as mpatches |
| import matplotlib.lines as mlines |
| import numpy as np |
|
|
| |
| data = [ |
| |
| dict(name='Mnist (2015)', mae=7.29, gflops=0.10, params=1.82, group='prior'), |
| dict(name='iTracker (2016)', mae=7.67, gflops=3.97, params=6.28, group='prior'), |
| dict(name='GazeNet (2017)', mae=6.62, gflops=72.24, params=90.23, group='prior'), |
| dict(name='FullFace (2017)', mae=5.65, gflops=29.90, params=190.00, group='prior'), |
| dict(name='RT-Gene (2018)', mae=5.36, gflops=12.21, params=31.66, group='prior'), |
| dict(name='DilatedNet (2019)', mae=5.07, gflops=202.00, params=3.92, group='prior'), |
| |
| |
| dict(name='Gaze360 (2019)', mae=4.66, gflops=3.65, params=11.72, group='recent'), |
| dict(name='FAR-Net (2021)', mae=5.12, gflops=0.65, params=1.94, group='recent'), |
| dict(name='FR-Net (2024)', mae=4.95, gflops=0.15, params=0.85, group='recent'), |
| dict(name='FGI-Net (2025)', mae=4.81, gflops=0.08, params=0.45, group='recent'), |
| |
| |
| dict(name='Heavy Teacher (ResNet50)', mae=4.15, gflops=4.12, params=25.56, group='teacher'), |
| |
| |
| dict(name='LIPE V2 (Ours)', mae=4.72, gflops=0.02125, params=0.18, group='ours'), |
| ] |
|
|
| |
| plt.rcParams['font.family'] = 'sans-serif' |
| plt.rcParams['xtick.direction'] = 'in' |
| plt.rcParams['ytick.direction'] = 'in' |
|
|
| GROUP_STYLE = { |
| 'prior': {'color': '#B4B2A9', 'edgecolor': '#5F5E5A', 'label': 'Prior Works (2015-2019)'}, |
| 'recent': {'color': '#6B8E23', 'edgecolor': '#4B6B1D', 'label': 'Recent Edge SOTA'}, |
| 'teacher': {'color': '#A9A9A9', 'edgecolor': '#696969', 'label': 'Heavy Teacher Baseline'}, |
| 'ours': {'color': '#D32F2F', 'edgecolor': '#7B1FA2', 'label': 'LIPE V2 (Ours)'} |
| } |
|
|
| fig, ax = plt.subplots(figsize=(7, 5), dpi=300) |
|
|
| def bubble_area(p): |
| return 80 + 350 * np.log10(p + 1) |
|
|
| |
| for d in data: |
| style = GROUP_STYLE[d['group']] |
| scale_s = bubble_area(d['params']) |
| |
| marker = 'D' if d['group'] == 'ours' else 'o' |
| lw = 1.8 if d['group'] == 'ours' else 0.8 |
| zorder = 5 if d['group'] == 'ours' else 3 |
| |
| ax.scatter( |
| d['gflops'], d['mae'], |
| s=scale_s, |
| color=style['color'], |
| edgecolors=style['edgecolor'], |
| marker=marker, |
| alpha=0.85, |
| linewidths=lw, |
| zorder=zorder |
| ) |
|
|
| |
| for d in data: |
| is_ours = (d['group'] == 'ours') |
| fw = 'bold' if is_ours else 'normal' |
| col = '#D32F2F' if is_ours else '#424242' |
| fs = 8.5 if is_ours else 7.5 |
| |
| xytext = (8, 0) |
| ha, va = 'left', 'center' |
| |
| if d['name'] == 'LIPE V2 (Ours)': |
| xytext = (-10, 10) |
| ha, va = 'right', 'bottom' |
| elif d['name'] == 'FGI-Net (2025)': |
| xytext = (10, -10) |
| ha, va = 'left', 'top' |
| elif d['name'] == 'FR-Net (2024)': |
| xytext = (10, 8) |
| ha, va = 'left', 'bottom' |
| elif d['name'] == 'FAR-Net (2021)': |
| xytext = (-10, -8) |
| ha, va = 'right', 'top' |
| elif d['name'] == 'Gaze360 (2019)': |
| xytext = (12, 0) |
| ha, va = 'left', 'center' |
| elif d['name'] == 'DilatedNet (2019)': |
| xytext = (-10, 0) |
| ha, va = 'right', 'center' |
|
|
| ax.annotate( |
| d['name'], |
| xy=(d['gflops'], d['mae']), |
| xytext=xytext, |
| textcoords="offset points", |
| fontsize=fs, |
| fontweight=fw, |
| color=col, |
| ha=ha, |
| va=va, |
| zorder=6 |
| ) |
|
|
| |
| pareto_x = [0.02125, 0.08, 3.65, 4.12] |
| pareto_y = [4.72, 4.81, 4.66, 4.15] |
| ax.plot(pareto_x, pareto_y, color='#757575', linestyle='--', linewidth=1.2, zorder=2) |
|
|
| |
| ax.set_xscale('log') |
| ax.set_xlabel('Computational Complexity (GFLOPs) [Log Scale]', fontsize=9.5, fontweight='bold', labelpad=6) |
| ax.set_ylabel('Gaze Estimation Error (MAE in Degrees) [Lower is Better]', fontsize=9.5, fontweight='bold', labelpad=6) |
|
|
| ax.set_xlim(0.0075, 350.0) |
| ax.set_ylim(8.0, 3.8) |
| ax.grid(True, which="both", ls=":", color='#E5E5E5', zorder=1) |
|
|
| ax.tick_params(axis='both', colors='#5F5E5A', labelsize=8.5) |
| for spine in ax.spines.values(): |
| spine.set_edgecolor('#D3D1C7') |
| spine.set_linewidth(0.8) |
|
|
| |
| |
| group_handles = [] |
| for g in ['ours', 'recent', 'teacher', 'prior']: |
| style = GROUP_STYLE[g] |
| marker = 'D' if g == 'ours' else 'o' |
| group_handles.append(mlines.Line2D( |
| [], [], color='none', marker=marker, markersize=6.5, |
| markerfacecolor=style['color'], markeredgecolor=style['edgecolor'], |
| markeredgewidth=1.0, label=style['label'] |
| )) |
| group_handles.append(mlines.Line2D([], [], color='#757575', linestyle='--', linewidth=1.2, label='Current Pareto Frontier')) |
|
|
| legend_group = ax.legend( |
| handles=group_handles, loc='lower left', title='Model Classification', |
| fontsize=8, title_fontsize=8.5, frameon=True, facecolor='white', edgecolor='#D3D1C7', framealpha=0.9 |
| ) |
| ax.add_artist(legend_group) |
|
|
| |
| sizes = [0.18, 1.94, 11.72, 190.0] |
| size_labels = ['0.18M (Ours)', '1.94M', '11.72M', '190.0M'] |
|
|
| |
| size_handles = [ |
| plt.scatter([], [], s=bubble_area(sz) * 0.45, color='#B4B2A9', alpha=0.6, edgecolors='#5F5E5A', marker='o') |
| for sz in sizes |
| ] |
|
|
| legend_size = ax.legend( |
| handles=size_handles, labels=size_labels, loc='lower right', title='Bubble Size (Params)', |
| fontsize=8, |
| title_fontsize=8.5, |
| frameon=True, |
| facecolor='white', |
| edgecolor='#D3D1C7', |
| framealpha=0.9, |
| labelspacing=1.1, |
| borderpad=0.8, |
| handletextpad=1.0 |
| ) |
|
|
| plt.tight_layout() |
| plt.savefig('Figure_1_Final_Resized.png', dpi=300) |
| plt.show() |