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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. TOOL · arXiv cs.AI English(EN) ·

    CounterFace: A Synthetic Face Dataset for Fine-Grained Counterfactual Evaluation of Face Recognition Systems

    Researchers have introduced CounterFace, a novel synthetic dataset designed for the fine-grained evaluation of face recognition systems. This dataset comprises 11,821 counterfactual face pairs across 20 facial attributes and 8 demographic factors, significantly expanding upon previous synthetic datasets. CounterFace was generated using a fully automated pipeline, removing the need for human verification in the synthesis process. The dataset was used to evaluate six commercial and open-source face recognition systems, revealing performance degradations that vary by attribute and demographic, with occluding factors like masks and facial hair consistently degrading performance. AI

    IMPACT Provides a new benchmark for assessing the robustness and potential biases of face recognition AI.

  2. RESEARCH · Hugging Face Daily Papers English(EN) · · [14 sources]

    LongAV-Compass: Towards Unified Evaluation of Minute-Scale Audio-Visual Generation Across T2AV, I2AV, and V2AV

    Researchers have introduced OmniCustom, a framework for customizing both video identity and audio timbre simultaneously from reference images and audio. This DiT-based model uses separate LoRA modules for identity and timbre control, enhanced by a contrastive learning objective. Separately, the NAVA framework offers native audio-visual alignment for joint generation, improving synchronization and timbre controllability with a 6.3B parameter model. Additionally, LongAV-Compass has been developed as a benchmark for evaluating minute-long audio-visual generation across various conditioning modalities, assessing consistency and alignment over extended durations. AI

    IMPACT New models and benchmarks improve control and evaluation for audio-visual generation, pushing the boundaries of synchronized media synthesis.