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Found 4 papers, 1 papers with code
σ-GPTs: A New Approach to Autoregressive Models
Autoregressive models, such as the GPT family, use a fixed order, usually left-to-right, to generate sequences.
PAUMER: Patch Pausing Transformer for Semantic Segmentation
We study the problem of improving the efficiency of segmentation transformers by using disparate amounts of computation for different parts of the image.
Borrowing from yourself: Faster future video segmentation with partial channel update
Semantic segmentation is a well-addressed topic in the computer vision literature, but the design of fast and accurate video processing networks remains challenging.
Real-Time Segmentation Networks should be Latency Aware
We propose a change of objective in the segmentation task, and its associated metric that encapsulates this missing information in the following way: We propose to predict the future output segmentation map that will match the future input frame at the time when the network finishes the processing.
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