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VisMin: Visual Minimal-Change Understanding
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To evaluate VLMs' fine-grained understanding, existing benchmarks primarily focus on evaluating VLMs' capability
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c3010e98dc44b6f76df7cf82b5e12c77-Paper-Conference.pdf
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From the learning theory perspective, the learning guarantees of SCO algorithms with known derivatives have been studied in the literature.
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City Refer: Geography-aware 3D Visual Grounding Dataset on City-scale Point Cloud Data
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In this paper, we introduce the CityRefer dataset for city-level 3D visual grounding.
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Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer
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For instance, patients' diagnosis varies substantially across medical centers but collaboratively form long-tailed distributions for
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