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Static-Dynamic Co-teaching for Class-Incremental 3D Object Detection

AAAI 2022 · Continual learning › Class-incremental · approach: Incremental object detection with replay · 18 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use SDCoT instead of freeze-and-add or fine-tuningVoteNet class-incremental 3D detection · SUN RGB-D val, |C_novel|=5mAP@0.25, all: 32.42 -> 57.21; 28.79 -> 57.21Helped
Use SDCoT instead of freeze-and-add or fine-tuningVoteNet class-incremental 3D detection · ScanNet val, |C_novel|=4mAP@0.25, all: 39.47 -> 54.25; 14.05 -> 54.25Helped
Add mixed pseudo-label and ground-truth supervision for old and new classesSDCoT · SUN RGB-D val, |C_novel|=5mAP@0.25, all: 28.79 -> 51.14Helped
Add static-teacher distillation loss (ablation)SDCoT with mixed-label supervision · SUN RGB-D val, |C_novel|=5mAP@0.25, all: 51.14 -> 55.12Helped
Add dynamic-teacher consistency loss (ablation)SDCoT with mixed-label supervision · SUN RGB-D val, |C_novel|=5mAP@0.25, novel: 50.12 -> 57.11Helped
Add both distillation and consistency losses (ablation)SDCoT · SUN RGB-D val, |C_novel|=5mAP@0.25, all: 51.14 -> 57.21Helped
Add static-teacher distillation loss (ablation)SDCoT · ScanNet val, |C_novel|=4mAP@0.25, all: 51.74 -> 53.19Helped
Add dynamic-teacher consistency loss (ablation)SDCoT · ScanNet val, |C_novel|=4mAP@0.25, all: 51.74 -> 52.76Helped
Add center-aware distillation (ablation)Classification-logit distillation in SDCoT · SUN RGB-D val, |C_novel|=5mAP@0.25, all: 57.21 -> 56.38Hurt
Add size-aware distillation (ablation)Classification-logit distillation in SDCoT · SUN RGB-D val, |C_novel|=5mAP@0.25, all: 57.21 -> 56.98Hurt
Add center- and size-aware distillation (ablation)Classification-logit distillation in SDCoT · SUN RGB-D val, |C_novel|=5mAP@0.25, all: 57.21 -> 56.45Hurt
Replace L2 distillation loss with cross-entropy or temperature-based knowledge distillation loss (ablation)SDCoT · Class-incremental 3D object detectionmAP@0.25Hurt

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