New knot classification benchmark and topology-aware supervision methods yield small specificity gains but confirm that appearance bias remains the dominant failure mode.
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4 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 4representative citing papers
FaVChat proposes hierarchical prompt-query guided visual features and Data-Efficient GRPO for efficient training, plus the FaVChat-170K dataset, claiming consistent outperformance over prior VLLMs on facial video tasks.
ChaRVoC integrates voice biometrics, user secret keys, and dynamic challenges via a HashGray-XOR scheme to produce cancelable, unlinkable, non-invertible templates with liveness detection.
A two-stage FTF retrieval system for remote sensing images and text achieves competitive accuracy with substantially higher efficiency by separating fast candidate recall from fine-grained reranking.
citing papers explorer
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Physical Knot Classification Beyond Accuracy: A Benchmark and Diagnostic Study
New knot classification benchmark and topology-aware supervision methods yield small specificity gains but confirm that appearance bias remains the dominant failure mode.
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FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO
FaVChat proposes hierarchical prompt-query guided visual features and Data-Efficient GRPO for efficient training, plus the FaVChat-170K dataset, claiming consistent outperformance over prior VLLMs on facial video tasks.
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ChaRVoC: A Challenge-Response Voice Cancelable Authentication System
ChaRVoC integrates voice biometrics, user secret keys, and dynamic challenges via a HashGray-XOR scheme to produce cancelable, unlinkable, non-invertible templates with liveness detection.
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Fast-then-Fine: A Two-Stage Framework with Multi-Granular Representation for Cross-Modal Retrieval in Remote Sensing
A two-stage FTF retrieval system for remote sensing images and text achieves competitive accuracy with substantially higher efficiency by separating fast candidate recall from fine-grained reranking.