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Multi-modification image retrieval is now possible: TEMA handles complex, real-world instructions that go beyond simple changes, outperforming existing methods on new datasets M-FashionIQ and M-CIRR.
Over 20 teams vied to decode human attention in video, revealing new insights into saliency prediction techniques.
Achieve state-of-the-art hybrid nearest neighbor search by explicitly modeling and mitigating data heterogeneity, a problem often overlooked in existing approaches.
