ImageNet
Emerging5papers using it
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ImageNet is a large-scale dataset containing millions of labeled images used to evaluate the performance of machine learning models, particularly in image classification tasks.
Papers using ImageNet (5)
- CoLLM-NAS: Collaborative Large Language Models for Efficient Knowledge-Guided Neural Architecture SearchUniWeTok: An Unified Binary Tokenizer with Codebook Size 2^{128} for Unified Multimodal Large Language ModelUnleashing the Potential of Large Language Models for Text-to-Image
Generation through Autoregressive Representation AlignmentRL makes MLLMs see better than SFTRouting Matters in MoE: Scaling Diffusion Transformers with Explicit
Routing Guidance