and dissimilar images • যڌѱ ਬೞѢա ܲ Example Pairܳ ٜ݅ Ѫੋо? 2. Ability to know what an image represents • যڌѱ Representationਸ ੜ ٜ݅ Ѫੋо? 3. Ability to quantify if two images are similar • যڌѱ ਬೠ بܳ ബҗਵ۽ ஏೡ Ѫੋо?
(Russakovsky et al., 2015) • Evaluation Protocols 1.Linear Evaluation • Linear Classiﬁer trained on learned features (frozen encoder) 2.Semi-supervised Learning • Fine-tune the model on few labels 3.Transfer Learning • Transfer Learning by ﬁne-tuning on other datasets
cosine similarity) along with temperature effectively weights different examples, and an appropriate temperature can help the model learn from hard negatives • Cross Entropyী ࠺೧ ܲ Objectiveٜ Negatives ী ੋ য۰ਸ അೡ ࣻ হח ױ l2