π‘ Learning Visual Representations via Language-Guided Sampling New approach deviates from image-text contrastive learning by relying on pre-trained language models to guide the learning rather than minimize a cross-modal similarity. ΠΠΎΠ²ΡΠΉ Π°Π»ΡΡΠ΅ΡΠ½Π°ΡΠΈΠ²Π½ΡΠΉ ΠΏΠΎΠ΄Ρ ΠΎΠ΄ ΠΊ Π²ΠΈΠ·ΡΠ°Π»ΡΠ½ΠΎΠΌΡ ΠΎΠ±ΡΡΠ΅Π½ΠΈΡ: Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΡΠ·ΡΠΊΠΎΠ²ΠΎΠ³ΠΎ ΡΡ ΠΎΠ΄ΡΡΠ²Π° Π΄Π»Ρ Π²ΡΠ±ΠΎΡΠΊΠΈ ΡΠ΅ΠΌΠ°Π½ΡΠΈΡΠ΅ΡΠΊΠΈ ΡΡ ΠΎΠΆΠΈΡ ΠΏΠ°Ρ ΠΈΠ·ΠΎΠ±ΡΠ°ΠΆΠ΅Π½ΠΈΠΉ. π₯ Github: https://github.com/mbanani/lgssl βοΈPaper: https://arxiv.org/abs/2302.12248v1 β©Pre-trained Checkpoints: www.dropbox.com/sh/me6nβ¦VOS_jHQa π» Dataset : https://paperswithcode.com/dataset/redcaps ai_machinelearning_big_data