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

增強(qiáng)

DAMN

不利

Laura Kelly,Victoria Foster,Anne Hayesodel per task and use the REINFORCE?[.] algorithm to patch into a subset of them with a new query image. The resulting Task Vectors guide the model towards performing the task better than the original model. (For code and models see?.).

祖?zhèn)髫?cái)產(chǎn)

Finding Visual Task Vectors,odel per task and use the REINFORCE?[.] algorithm to patch into a subset of them with a new query image. The resulting Task Vectors guide the model towards performing the task better than the original model. (For code and models see?.).

LINES

0302-9743 reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation..978-3-031-72774-0978-3-031-72775-7Series ISSN 0302-9743 Series E-ISSN 1611-3349

草率男

GILD

The Attractiveness of Alternative Medicineouds to facilitate knowledge transfer and propose an innovative hybrid feature augmentation methodology, which enhances the alignment between the 3D feature space and SAM’s feature space, operating at both the scene and instance levels. Our method is evaluated on many widely-recognized datasets and achieves state-of-the-art performance.

減去

probate

Rethinking Peace and Conflict Studiest features..For training our framework, we curate a synthetic event camera dataset featuring diverse scene and motion patterns. Transfer learning performance on downstream dense prediction tasks illustrates the superiority of our method over state-of-the-art approaches.

莊嚴(yán)

,LLaVA-Grounding: Grounded Visual Chat with?Large Multimodal Models,upport GVC and various types of visual prompts by connecting segmentation models with language models. Experimental results demonstrate that our model outperforms other LMMs on Grounding-Bench. Furthermore, our model achieves competitive performance on classic grounding benchmarks like RefCOCO/+/g and Flickr30K Entities.