Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts

3 Aug 2020 • Nicolas Gonthier • Saïd Ladjal • Yann Gousseau

Weakly supervised object detection (WSOD) using only image-level annotations has attracted a growing attention over the past few years. Whereas such task is typically addressed with a domain-specific solution focused on natural images, we show that a simple multiple instance approach applied on pre-trained deep features yields excellent performances on non-photographic datasets, possibly including new classes... (read more)

PDF Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Weakly Supervised Object Detection CASPAPaintings MI-max Mean mAP 16.2 # 1
Weakly Supervised Object Detection Clipart1k MI-max MAP 38.4 # 1
Weakly Supervised Object Detection Comic2k MI-max MAP 27 # 1
Weakly Supervised Object Detection IconArt MI_Net [wang_revisiting_2018] MAP 15.1 # 1
Weakly Supervised Object Detection PeopleArt Polyhedral MI-max MAP 58.3 # 1
Weakly Supervised Object Detection Watercolor2k MI-max MAP 49.5 # 3

Methods used in the Paper


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