atlas

Research map / Detection and segmentation / Weakly supervised detection and segmentation

LCTR: On Awakening the Local Continuity of Transformer for Weakly Supervised Object Localization

AAAI 2022 · Detection and segmentation › Weakly supervised detection and segmentation · approach: Weakly supervised object localization · 55 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add RPAM and CDM to the transformer WSOL baselineLCTR · CUB-200-2011 testTop-1 localization accuracy: 71.3 -> 79.2Helped
Add RPAM and CDM to the transformer WSOL baselineLCTR · ILSVRC validationTop-1 localization accuracy: 53.4 -> 56.1Helped
Add RPAM to the TS-CAM baseline (ablation)LCTR · CUB-200-2011 testTop-1 localization accuracy: 71.3 -> 74.0Helped
Add RPAM to the TS-CAM baseline (ablation)LCTR · ILSVRC validationTop-1 localization accuracy: 53.4 -> 54.2Helped
Add CDM to the TS-CAM baseline (ablation)LCTR · CUB-200-2011 testTop-1 localization accuracy: 71.3 -> 76.0Helped
Add CDM to the TS-CAM baseline (ablation)LCTR · ILSVRC validationTop-1 localization accuracy: 53.4 -> 55.1Helped
Add CDM with G=4 alongside RPAM (ablation)LCTR · CUB-200-2011 testTop-1 localization accuracy: 74.0 -> 79.2Helped
Add CDM with G=4 alongside RPAM (ablation)LCTR · ILSVRC validationTop-1 localization accuracy: 54.2 -> 56.1Helped
Set CDM G to 2 instead of 4 (ablation)LCTR · CUB-200-2011 testTop-1 localization accuracy: 76.0 -> 75.2Hurt
Increase CDM G from 4 to 8 (ablation)LCTR · CUB-200-2011 testTop-1 localization accuracy: 76.0 -> 74.3Hurt
Increase CDM G from 4 to 16 (ablation)LCTR · CUB-200-2011 testTop-1 localization accuracy: 76.0 -> 74.1Hurt
Increase CDM G from 4 to 32 (ablation)LCTR · CUB-200-2011 testTop-1 localization accuracy: 76.0 -> 74.0Hurt

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy