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Sam-clip: Merging vision foundation models towards semantic and spatial understanding
The landscape of publicly available vision foundation models (VFMs) such as CLIP and
SAM is expanding rapidly. VFMs are endowed with distinct capabilities stemming from their …
SAM is expanding rapidly. VFMs are endowed with distinct capabilities stemming from their …
Replay in minds and machines
L Wittkuhn, S Chien, S Hall-McMaster… - … & Biobehavioral Reviews, 2021 - Elsevier
Experience-related brain activity patterns reactivate during sleep, wakeful rest, and brief
pauses from active behavior. In parallel, machine learning research has found that …
pauses from active behavior. In parallel, machine learning research has found that …
Rainbow memory: Continual learning with a memory of diverse samples
Continual learning is a realistic learning scenario for AI models. Prevalent scenario of
continual learning, however, assumes disjoint sets of classes as tasks and is less realistic …
continual learning, however, assumes disjoint sets of classes as tasks and is less realistic …
Always be dreaming: A new approach for data-free class-incremental learning
Modern computer vision applications suffer from catastrophic forgetting when incrementally
learning new concepts over time. The most successful approaches to alleviate this forgetting …
learning new concepts over time. The most successful approaches to alleviate this forgetting …
Open-vclip: Transforming clip to an open-vocabulary video model via interpolated weight optimization
Abstract Contrastive Language-Image Pretraining (CLIP) has demonstrated impressive zero-
shot learning abilities for image understanding, yet limited effort has been made to …
shot learning abilities for image understanding, yet limited effort has been made to …
Architecture matters in continual learning
SI Mirzadeh, A Chaudhry, D Yin, T Nguyen… - ar** large foundation models up to date on latest data is inherently expensive. To avoid
the prohibitive costs of constantly retraining, it is imperative to continually train these models …
the prohibitive costs of constantly retraining, it is imperative to continually train these models …
Building an open-vocabulary video CLIP model with better architectures, optimization and data
Despite significant results achieved by Contrastive Language-Image Pretraining (CLIP) in
zero-shot image recognition, limited effort has been made exploring its potential for zero …
zero-shot image recognition, limited effort has been made exploring its potential for zero …