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Machinelearning

Π’Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ . ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ , Π½Π΅ΠΉΡ€ΠΎΠ½Π½Ρ‹Π΅ сСти . ΠΊΠ°Π½Π°Π» с самой свСТСй ΠΈ Π°ΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½ΠΎΠΉ ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠ΅ΠΉ ΠΈΠ· ΠΌΠΈΡ€Π° it

Machinelearning

3 Π³ΠΎΠ΄Π° Π½Π°Π·Π°Π΄
ΠžΡ‚ΠΊΡ€Ρ‹Ρ‚ΡŒ Π²
πŸ“Έ Omni Aggregation Networks for Lightweight Image Super-Resolution Omni Self-attention paradigm for simultaneous spatial and channel interactions,mining all the potential correlations across omni-axis. Omni-SR, лСгковСсный Ρ„Ρ€Π΅ΠΉΠΌΠ²ΠΎΡ€ΠΊ для получСния высокого Ρ€Π°Π·Ρ€Π΅ΡˆΠ΅Π½ΠΈΡ ΠΈΠ·ΠΎΠ±Ρ€Π°ΠΆΠ΅Π½ΠΈΠΉ. πŸ–₯ Github: https://github.com/francis0625/omni-sr ⏩ Paper: https://arxiv.org/abs/2304.10244v1 ⭐️ Dataset: https://paperswithcode.com/dataset/manga109 ai_machinelearning_big_data