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Cross Domain Object Detection by Target-Perceived Dual Branch Distillation

CVPR 2022 · Detection and segmentation › Open-set and few-shot detection · approach: Domain-adaptive object detection · 93 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add the dual-branch structure (ablation)single-branch detector · C→F, S→C, C→Breported detection score: 47.4; 61.1; 39.4 -> 48.3; 62.6; 42.2Helped
add target images to single-branch training (ablation)source-only single-branch detector · C→F, S→C, C→Breported detection score: 34.8; 48.3; 34.3 -> 41.2; 59.0; 38.9Helped
add target-like images to single-branch training (ablation)single-branch detector trained with source and target images · C→F, S→C, C→Breported detection score: 41.2; 59.0; 38.9 -> 47.4; 61.1; 39.4Helped
add the Target Proposal Perceiver (ablation)TDD · C→F, S→C, C→Breported detection score: 48.3 -> 49.2; 62.6 -> 63.3; 42.2 -> 43.9Helped
replace asymmetric cross-attention with self-attention (ablation)TDD · C→F, S→C, C→Breported detection score: 49.2 -> 46.8; 63.3 -> 61.0; 43.9 -> 40.6Hurt
use cross-attention on both branches (ablation)TDD · C→F, S→C, C→Breported detection score: 49.2 -> 48.1; 63.3 -> 62.4; 43.9 -> 43.7Hurt
add cross-domain distillation after joint-domain pretraining (ablation)TDD · C→F, S→C, C→Breported detection score: 37.4; 56.7; 37.5 -> 44.1; 62.1; 42.7Helped
add dual-teacher refinement after joint-domain pretraining and cross-domain distillation (ablation)TDD · C→F, S→C, C→Breported detection score: 44.1; 62.1; 42.7 -> 49.2; 63.3; 43.9Helped
set teacher EMA rate to 0.96 (ablation)TDD dual-teacher refinement · C→F, S→C, C→Breported detection score: 49.2; 63.3; 43.9 -> 39.3; 59.1; 28.7Hurt
set teacher EMA rate to 0.996 (ablation)TDD dual-teacher refinement · C→F, S→C, C→Breported detection score: 49.2; 63.3; 43.9 -> 48.4; 63.6; 41.5Mixed

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