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COIN: A Large-Scale Dataset for Comprehensive Instructional Video Analysis

CVPR 2019 · Video › Action recognition · approach: Action anticipation and latent actions · 256 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add task-consistency refinement to SSN-FusionSSN on COIN · COIN step localization, IoU 0.5mAP: 8.12 -> 9.05Helped
Add task-consistency refinement to SSN-FusionSSN on COIN · COIN step localization, IoU 0.5mAR: 26.79 -> 29.79Helped
Add task-consistency refinementR-C3D on COIN · COIN step localization, IoU 0.5mAP: 2.82 -> 3.08Helped
Add task-consistency refinement to SSNSSN on Breakfast · Breakfast step localization, IoU 0.5mAP: 15.84 -> 16.39Helped
Add task-consistency refinement to SSNSSN on Breakfast · Breakfast step localization, IoU 0.5mAR: 35.51 -> 36.20Helped
Use ordering information with weak supervisionAction segmentation on COIN · COIN action segmentationframe accuracy: 4.94 -> 21.17Helped
Use ordering information with weak supervisionAction segmentation on COIN · COIN action segmentationframe accuracy: 4.94 -> 34.30Helped
Use frame-level labels for fully supervised classification instead of Action-Sets supervisionCNN on COIN · COIN action segmentationframe accuracy: 4.94 -> 25.79Helped
Include temporal information and ordering constraints rather than using frame labels aloneAction segmentation on COIN · COIN action segmentationframe accuracy: 25.79 -> 34.30Helped
Use task-consistency refinementSSN+TC-Fusion · COIN step localization, sports domain, IoU 0.1mAPHelped

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