Database Paper Browser

Back to papers

SeeSaw: Interactive Ad-hoc Search Over Image Databases

Summary: SeeSaw blends CLIP-like embeddings with box feedback for ad-hoc search in large image collections. Robust methods mitigate feedback-driven degradation, yielding avg AP gains +0.08 from 0.72 and +0.27 on hard queries across four datasets and 1k+ queries. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6761
Venue
SIGMOD
Year
2023
Pagerank
4.4656647e-05
Overall Rank
8,700 | 39.48%
DOI
10.1145/3626754

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers