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Found 4 papers, 4 papers with code
Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning
The two encoders are used to compute prototypes of image classes for classification.
Self-Supervised Unseen Object Instance Segmentation via Long-Term Robot Interaction
By applying multi-object tracking and video object segmentation on the images collected via robot pushing, our system can generate segmentation masks of all the objects in these images in a self-supervised way.
SplitEasy: A Practical Approach for Training ML models on Mobile Devices
In this work, we highlight the theoretical and technical challenges that need to be resolved to develop a functional framework that trains ML models in mobile devices without transferring raw data to a server.
Rethinking CNN Models for Audio Classification
Besides, we show that even though we use the pretrained model weights for initialization, there is variance in performance in various output runs of the same model.
Environmental Sound Classification
General Classification
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