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Overcoming Catastrophic Forgetting in Incremental Object Detection via Elastic Response Distillation

CVPR 2022 · Continual learning › Class-incremental · approach: Incremental object detection with replay · 122 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use ERD instead of fine-tuning on new data onlyGFLV1 · COCO minival, 40 classes + 40 classesAP: 17.8 -> 36.9Helped
use ERD rather than SIDGFLV1 · COCO minival, 40 classes + 40 classesAP: 34.0 -> 36.9Helped
use ERD rather than LwFGFLV1 · COCO minival, 40 classes + 40 classesAP: 17.2 -> 36.9Helped
use ERD rather than fine-tuning on new data onlyGFLV1 · COCO minival, 50 classes + 30 classesAP: 14.1 -> 36.6Helped
use ERD rather than fine-tuning on new data onlyGFLV1 · COCO minival, 60 classes + 20 classesAP: 9.8 -> 35.8Helped
use ERD rather than fine-tuning on new data onlyGFLV1 · COCO minival, 70 classes + 10 classesAP: 4.3 -> 34.9Helped
distill all classification and regression responses without selection (ablation)incremental GFLV1 · COCO minival, first 40 classes + last 40 classesAP: 17.8 -> 31.5Hurt
distill all classification responses only (ablation)incremental GFLV1 · COCO minival, first 40 classes + last 40 classesAP: 17.8 -> 23.8Helped
distill all regression responses only (ablation)incremental GFLV1 · COCO minival, first 40 classes + last 40 classesAP: 17.8 -> 13.0Hurt
select classification responses with ERS rather than use all classification responses (ablation)incremental GFLV1 · COCO minival, first 40 classes + last 40 classesAP: 23.8 -> 33.2Helped
add regression responses selected by ERS to classification ERS (ablation)incremental GFLV1 · COCO minival, first 40 classes + last 40 classesAP: 33.2 -> 36.9Helped
vary ERS thresholds α₁ and α₂ across the tested settings (ablation)ERD · COCO minival, first 40 classes + last 40 classesAP: 36.5; 36.8; 36.7; 36.9No clear effect

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