Seonwook Park, Chunggi Lee, Sanghoon Kim, Heon Song, Donggeun Yoo, Sérgio Pereira, Jeongun Ryu, Haejoon Kim
We have not lifted any functions out of this paper's repositories yet, so there is nothing we have run. If it links a repository, it is listed below.
An annotator clicks on some instances and classes C3Det detects many objects from different classes, even for classes not specified by the annotator The annotator clicks on a few objects that were omitted in the previous step few more clicks More objects are detected Eventually, all objects are detected Figure 1. C3Det is a deep learning framework for interactive tiny-object detection that relates multiple annotator clicks to multiple instances and multiple classes of objects (each object class is depicted with a different color), in order to reduce overall annotation cost.
The same record, over MCP at https://syntology.ai/mcp:
get_harvested_code_for_paper("2203.15266")
get_code_for_paper("2203.15266")
have("2203.15266")
Connect an agent — have() is free.