Browse State-of-the-Art › set matching
set matching
19 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
No dataset record in the archive lists this task.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
19 shown of 19 papers with code (41 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
-
26 Jul 2022 8 repositories listed Syntology ran 14 of 18 samples · 4 unverified · 1 pointer-only (licence)One-to-one set matching is a key design for DETR to establish its end-to-end capability, so that object detection does not require a hand-crafted NMS (non-maximum suppression) to remove duplicate detections.
-
22 Nov 2022 6 repositories listed Syntology ran 0 of 5 samples · 5 unverifiedThis new training scheme can easily enhance the encoder's learning ability in end-to-end detectors by training the multiple parallel auxiliary heads supervised by one-to-many label assignments such as ATSS and Faster…
-
20 Apr 2021 4 repositories listedFinding an optimal correspondence between point sets is a common task in computer vision.
-
ESM+: Modern Insights into Perspective on Text-to-SQL Evaluation in the Age of Large Language Models10 Jul 2024 2 repositories listedOur results show that EXE and ESM have high false positive and negative rates of 11.
-
30 Aug 2021 2 repositories listedThis paper addresses the problem of set-to-set matching, which involves matching two different sets of items based on some criteria, especially in the case of high-dimensional items like images.
-
20 Apr 2021 2 repositories listedIn this work, we demonstrate the limits of semantic data set matching.
-
22 Oct 2019 2 repositories listedMatching two different sets of items, called heterogeneous set-to-set matching problem, has recently received attention as a promising problem.
-
30 Oct 2024 1 repository listedIn this paper, we propose to solve this through semantic RSMs, which are invariant to spatial permutation.
-
12 Jun 2024 1 repository listedLearning general-purpose models from diverse datasets has achieved great success in machine learning.
-
2 Apr 2023 1 repository listedWe introduce Sketch-based Video Object Localization (SVOL), a new task aimed at localizing spatio-temporal object boxes in video queried by the input sketch.
-
31 Jan 2023 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)But adapting this scheme to the state-of-the-art (SOTA) solution for PC-based layout estimation is not straightforward.
-
9 Jan 2023 1 repository listedTo be specific, HyRSM++ consists of two key components, a hybrid relation module and a temporal set matching metric.
-
27 Nov 2022 1 repository listedIn this paper, we propose a novel open-vocabulary object detection framework directly learning from image-text pair data.
-
25 May 2022 1 repository listedComprehensive experiments on several challenging datasets show that our method achieves superior performance on the AOOD task.
-
28 Apr 2022 1 repository listedTo overcome the two limitations, we propose a novel Hybrid Relation guided Set Matching (HyRSM) approach that incorporates two key components: hybrid relation module and set matching metric.
-
30 Oct 2021 1 repository listedUsual relations between entities could be captured using graphs; but those of a higher-order -- more so between two different types of entities (which we term "left" and "right") -- calls for a "bipartite hypergraph".
-
1 Jun 2019 1 repository listedIn this paper, we present a new data set, named FreebaseQA, for open-domain factoid question answering (QA) tasks over structured knowledge bases, like Freebase.
-
23 Oct 2018 1 repository listedWe introduce GSimCNN (Graph Similarity Computation via Convolutional Neural Networks) for predicting the similarity score between two graphs.
-
10 Sep 2018 1 repository listedSince computing the exact distance/similarity between two graphs is typically NP-hard, a series of approximate methods have been proposed with a trade-off between accuracy and speed.
Syntology lines on 3 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections