Titlebook: Computer Vision – ECCV 2024; 18th European Confer Ale? Leonardis,Elisa Ricci,Gül Varol Conference proceedings 2025 The Editor(s) (if applic

有角

,PreLAR: World Model Pre-training with?Learnable Action Representation,he world model learning requires extensive interactions with the real environment. Therefore, several innovative approaches such as APV proposed to unsupervised pre-train the world model from large-scale videos, allowing fewer interactions to fine-tune the world model. However, these methods only pr

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BUOY

性學(xué)院

突襲

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enterprise

,LaMI-DETR: Open-Vocabulary Detection with?Language Model Instruction,(VLMs), such as CLIP. However, two?main challenges emerge: (1) A deficiency in concept representation,?where the category names in CLIP’s text space lack textual and visual knowledge. (2) An overfitting tendency towards base categories,?with the open vocabulary knowledge biased towards base categori

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0302-9743 ce on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024...The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; r