Synthesizing the Unseen for Zero-shot Object Detection

The existing zero-shot detection approaches project visual features to the semantic domain for seen objects, hoping to map unseen objects to their corresponding semantics during inference. However, since the unseen objects are never visualized during training, the detection model is skewed towards seen content, thereby labeling unseen as background or a seen class... (read more)

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Datasets


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Zero-Shot Object Detection ImageNet Detection Ours mAP 24.3 # 1
Zero-Shot Object Detection MS-COCO Ours mAP 19 # 1
Recall 54 # 1
Generalized Zero-Shot Object Detection MS-COCO Ours HM(mAP) 25.08 # 1
HM(Recall) 55.74 # 1
Zero-Shot Object Detection PASCAL VOC'07 Ours mAP 64.9 # 1

Methods used in the Paper


METHOD TYPE
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