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By explicitly modeling both consensus and discrepancy between RGB and IR data, this text-guided multispectral object detector significantly boosts performance on multispectral benchmarks.
Achieve accurate manifold denoising with formal differential privacy guarantees, enabling the use of sensitive datasets for correcting noisy queries without compromising privacy.
Ditch the deep thought: this new agentic search framework slashes reasoning steps by 70% while boosting accuracy by prioritizing parallel evidence gathering.
Existing document forgery detectors are essentially useless against the rising tide of AI-generated document fraud, as revealed by a new benchmark showing a massive performance drop.
