Active Object Detection
4 papers with code • 2 benchmarks • 1 datasets
Active Learning for Object Detection
MS COCO
Most implemented papers
The MECCANO Dataset: Understanding Human-Object Interactions from Egocentric Videos in an Industrial-like Domain
To fill this gap, we introduce MECCANO, the first dataset of egocentric videos to study human-object interactions in industrial-like settings.
Multiple instance active learning for object detection
Despite the substantial progress of active learning for image recognition, there still lacks an instance-level active learning method specified for object detection.
Sequential Voting with Relational Box Fields for Active Object Detection
fuqichen1998/SequentialVotingDet
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CVPR 2022
While our voting function is able to improve the bounding box of the active object, one round of voting is typically not enough to accurately localize the active object.
MUS-CDB: Mixed Uncertainty Sampling with Class Distribution Balancing for Active Annotation in Aerial Object Detection
zjw700/mus-cdb
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However, existing active learning methods are mainly with class-balanced settings and image-based querying for generic object detection tasks, which are less applicable to aerial object detection scenarios due to the long-tailed class distribution and dense small objects in aerial scenes.
Active Object Detection with Knowledge Aggregation and Distillation from Large Models
Specifically, we propose a knowledge aggregation procedure to integrate the aforementioned informed priors into oracle queries within the teacher decoder, offering more object affordance commonsense to locate the active object.
