In 2014, Experian Marketing Services released research identifying six distinct deal-seeking consumer segments. The ...
Abstract: Self-supervised learning aims to learn transferable representations from unlabeled data for downstream tasks. Inspired by masked language modeling in natural language processing, masked ...
We propose an encoder-decoder for open-vocabulary semantic segmentation comprising a hierarchical encoder-based cost map generation and a gradual fusion decoder. We introduce a category early ...
Abstract: Convolutional neural networks (CNNs) are powerful in extracting local information but lack the ability to model long-range dependencies. In contrast, the transformer relies on multihead self ...
New VOS project: Putting the Object Back into Video Object Segmentation: https://github.com/hkchengrex/Cutie We frame Video Object Segmentation (VOS), first and ...
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