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A novel graph-based dataset pruning method achieves over 40% faster training on ImageNet-1k while maintaining accuracy, challenging the status quo of sample selection.
Over 20 teams vied to decode human attention in video, revealing new insights into saliency prediction techniques.
GPT-4o now has open-source competition: Ming-Omni matches its modality support in a single, unified model capable of perception and generation across image, text, audio, and video.
