… Given these constraints, our goal is to develop an alternative prior learning methodology
that improves parameter efficiency (97% reduction) and mitigates the need for large-scale high…

… In this paper we present an inexpensive alternative to Clickers. Poll sheets with coloured
blocks … This image is then processed using computer vision to count and classify the students’ …

… Self-supervised learning utilizes original data as its own source of supervision, which has
been applied to many Computer Vision tasks, such as image colorization [49], solving jigsaw …

… internet graphics due to lack of alternative text descriptions. Hence several companies have
… Hence in this thesis, we propose DICE, a Computer Vision (CV) based system that can …

… We evaluate the quality of learned representations on a set of computer vision tasks, … architecture
for computer vision. In Proceedings of the IEEE conference on computer vision and …

… This ICCV paper is the Open Access version, provided by the Computer Vision Foundation.
Except for this watermark, it is identical to the accepted version; the final published version of …

… Following ALBEF, we adopt our image encoder as a 12layer Vision Transformer [12] with
86 million parameters, pre-trained on ImageNet-1k [57]. Both the text and multimodal encoders …

… This ICCV paper is the Open Access version, provided by the Computer Vision Foundation.
Except for … This motivates us to explore cheaper and lighter alternative pre-trained models. …

… • We use CLIP to compute embeddings of the image and alt-text. Then we compute the
cosine similarity of both embeddings and drop all samples with cosine similarity below 0.3. This …

… (NLP) and computer vision (CV) communities. For example, Text-Image Retrieval[4] aims to
… 3M images with descriptions harvested from the Alt-text HTML attribute of the web pages, …