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09/24/2022
Raising the Bar on the Evaluation of Out-of-Distribution Detection
In image classification, a lot of development has happened in detecting ...
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03/23/2022
Visual Prompt Tuning
The current modus operandi in adapting pre-trained models involves updat...
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12/15/2021
Rethinking Nearest Neighbors for Visual Classification
Neural network classifiers have become the de-facto choice for current "...
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11/30/2021
AdaViT: Adaptive Vision Transformers for Efficient Image Recognition
Built on top of self-attention mechanisms, vision transformers have demo...
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11/16/2019
Unsupervised Deep Metric Learning via Auxiliary Rotation Loss
Deep metric learning is an important area due to its applicability to ma...
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05/28/2019
An Analysis of Object Embeddings for Image Retrieval
We present an analysis of embeddings extracted from different pre-traine...
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11/24/2018
