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Found 4 papers, 2 papers with code
Mask-Enhanced Segment Anything Model for Tumor Lesion Semantic Segmentation
Tumor lesion segmentation on CT or MRI images plays a critical role in cancer diagnosis and treatment planning.
LLMs as Visual Explainers: Advancing Image Classification with Evolving Visual Descriptions
We attribute this to two primary factors: 1) the reliance on single-turn textual interactions with LLMs, leading to a mismatch between generated text and visual concepts for VLMs; 2) the oversight of the inter-class relationships, resulting in descriptors that fail to differentiate similar classes effectively.
Video Background Music Generation: Dataset, Method and Evaluation
We believe our dataset, benchmark model, and evaluation metric will boost the development of video background music generation.
VLSNR:Vision-Linguistics Coordination Time Sequence-aware News Recommendation
In our work, we propose a vision-linguistics coordinate time sequence news recommendation.
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