Paper page - X2SAM: Any Segmentation in Images and Videos
…Whether you're new to segmentation MLLMs or looking to advance your research, X2SAM is an excellent starting point. We hope you enjoy exploring and using X2SAM! mask memory in x2sam is…
…Whether you're new to segmentation MLLMs or looking to advance your research, X2SAM is an excellent starting point. We hope you enjoy exploring and using X2SAM! mask memory in x2sam is…
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…View arXiv page View PDF Project page Add to collection Community Recent advances in speech generation have enabled high-fidelity synthesis, yet systematic evaluation of models under long-context conditions remains largely…
…task decomposition, parallel execution, shared working memory , gap detection, reusable learned skills, verification-driven reflection For retrieval thesis I am working on, this paper is relevant to advanced retrieval / agentic retrieval, especially…
…Recent advances, such as Meta MovieGen and Google Veo-3, highlight the growing industrial and academic focus on unified audio-vision architectures that learn from massive multimodal data . However, despite rapid progress…
…https://colab.research.google.com/drive/14jTpetYR61B6EVoJ6o8_B8gi6-SiizCA?usp=sharing @ davidrs this part in the example to reset classifier / labels with the target dataset is important model = AutoModelForImageClassification.from_pretrained( checkpoint…
…hf-inference', 'hyperbolic', 'nebius', 'novita', 'nscale', 'openai', 'replicate', 'sambanova', 'together'].Passing 'auto' (default value) will automatically select the first provider available for the model, sorted by the user's order in https…
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