This content originally appeared on HackerNoon and was authored by Instancing
Table of Links
Related Work
Methodology
3.1. Preliminaries and Notations
3.2. Relations between Attention-based VPG and MIL
3.3. MIVPG for Multiple Visual Inputs
3.4. Unveiling Instance Correlation in MIVPG for Enhanced Multi-instance Scenarios
Experiments and 4.1. General Setup
4.2. Scenario 1: Samples with Single Image
4.3. Scenario 2: Samples with Multiple Images, with Each Image as a General Embedding
\ Supplementary Material
A. Detailed Architecture of QFormer
3.4. Unveiling Instance Correlation in MIVPG for Enhanced Multi-instance Scenarios
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\ Subsequently, the aggregated low-rank matrix can be reintegrated with the original embeddings, as shown in Equation 9. This low-rank projection effectively reduces the time complexity to O(MM′).
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\ Proposition 2. MIVPG, when equipped with the CSA (Correlated Self-Attention) module, continues to fulfill the essential properties of MIL
\ We prove the proposition 2 in the supplementary B.
\ In summary, as depicted in Figure 2a, we establish that QFormer falls under the MIL category and is a specialized instance of our proposed MIVPG. The latter extends to visual inputs with multiple dimensions, accounting for instance correlation.
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:::info Authors:
(1) Wenliang Zhong, The University of Texas at Arlington (wxz9204@mavs.uta.edu);
(2) Wenyi Wu, Amazon (wenyiwu@amazon.com);
(3) Qi Li, Amazon (qlimz@amazon.com);
(4) Rob Barton, Amazon (rab@amazon.com);
(5) Boxin Du, Amazon (boxin@amazon.com);
(6) Shioulin Sam, Amazon (shioulin@amazon.com);
(7) Karim Bouyarmane, Amazon (bouykari@amazon.com);
(8) Ismail Tutar, Amazon (ismailt@amazon.com);
(9) Junzhou Huang, The University of Texas at Arlington (jzhuang@uta.edu).
:::
:::info This paper is available on arxiv under CC by 4.0 Deed (Attribution 4.0 International) license.
:::
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This content originally appeared on HackerNoon and was authored by Instancing
Instancing | Sciencx (2025-11-15T03:00:13+00:00) MIVPG and Instance Correlation: Enhanced Multi-Instance Learning. Retrieved from https://www.scien.cx/2025/11/15/mivpg-and-instance-correlation-enhanced-multi-instance-learning/
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