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A new benchmark dataset and challenge results highlight the state-of-the-art in infrared image super-resolution for remote sensing, pushing the field towards practical applications.
Over 20 teams vied to decode human attention in video, revealing new insights into saliency prediction techniques.
A unified benchmark reveals the trade-offs between pixel-wise accuracy and perceptual realism in state-of-the-art image super-resolution techniques.
Bitstream-corrupted video restoration remains a significant challenge, even with recent advances, as revealed by the NTIRE 2026 challenge results.
Forget cloud TPUs: this NAS method coaxes surprisingly good CNN architectures out of commodity GPUs using LLMs and a clever feedback loop.
LLMs can evolve into autonomous neural architecture designers, learning to generate novel and high-performing architectures by internalizing execution feedback, even surpassing their initial training data.
