Abstract: Domain-adaptive object detection (DAOD) aims to generalize detectors trained in labeled source domains to unlabeled target domains by mitigating domain bias. Recent studies have confirmed ...
Abstract: Zero-shot image captioning can harness the knowledge of pre-trained visual language models (VLMs) and language models (LMs) to generate captions for target domain images without paired ...
The project is in an experimental, pre-alpha, exploratory phase with the intention to be productionized. We move fast, break things, and explore various aspects of the seamless developer experience ...
Sparse Autoencoders (SAEs) have recently gained attention as a means to improve the interpretability and steerability of Large Language Models (LLMs), both of which are essential for AI safety. In ...
The unsealed court filings in the active It Ends With Us lawsuit have brought new information to light regarding what happened during the production of the film, including text messages and deposition ...
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