Abstract: In this paper we propose an autoencoder-based End-to-End (E2E) Deep Learning for symbol decoding in fiber optical communications systems. The autoencoder was trained with data encoded in two ...
🏡 Project Page | 📄 Paper | UniME(Phi3.5-V-4.2B) 🤗/🤖 | UniME(LLaVA-v1.6-7B)🤗/🤖 | UniME(LLaVA-OneVision-7B)🤗/🤖 UniME achieves the top ranking on the MMEB leaderboard training using only 336×336 ...
Abstract: Universal Domain Adaptation (UniDA) is a recent advent problem that aims to transfer the knowledge from the source domain to the target domain without any prior knowledge on label sets. The ...
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