What is recorded here?
Designed a large-vocabulary instance-segmentation dataset and per-category positive/negative evaluation subsets, enabling long-tail object recognition without exhaustive labeling of every image-category pair.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Originalv1 describes ongoing collection: approximately2million masks/164k images are projected targets, not certified completed release counts. Federated evaluation here means category-wise annotation subsets, not federated distributed model training. Incompletely annotated positive images have special false-positive handling; ordinary dense COCO AP cannot be applied indiscriminately.
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People and systems
Agrim Gupta; Piotr Dollár; Ross Girshick
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
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English catalogue narrative
LVIS: long-tail instance segmentation and federated evaluation
Designed a large-vocabulary instance-segmentation dataset and per-category positive/negative evaluation subsets, enabling long-tail object recognition without exhaustive labeling of every image-category pair.
Scientific scope
Originalv1 describes ongoing collection: approximately2million masks/164k images are projected targets, not certified completed release counts. Federated evaluation here means category-wise annotation subsets, not federated distributed model training. Incompletely annotated positive images have special false-positive handling; ordinary dense COCO AP cannot be applied indiscriminately.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Agrim Gupta; Piotr Dollár; Ross Girshick
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.