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Found 5 papers, 0 papers with code
Your Large Vision-Language Model Only Needs A Few Attention Heads For Visual Grounding
However, we discover that a few attention heads in frozen LVLMs demonstrate strong visual grounding capabilities.
See What You Are Told: Visual Attention Sink in Large Multimodal Models
Large multimodal models (LMMs) "see" images by leveraging the attention mechanism between text and visual tokens in the transformer decoder.
FALCON: Frequency Adjoint Link with CONtinuous Density Mask for Fast Single Image Dehazing
This work introduces FALCON (Frequency Adjoint Link with CONtinuous density mask), a single-image dehazing system achieving state-of-the-art performance on both quality and speed.
WoLF: Wide-scope Large Language Model Framework for CXR Understanding
(1) Previous methods solely use CXR reports, which are insufficient for comprehensive Visual Question Answering (VQA), especially when additional health-related data like medication history and prior diagnoses are needed.
CoBra: Complementary Branch Fusing Class and Semantic Knowledge for Robust Weakly Supervised Semantic Segmentation
This includes not only the masks generated by our model, but also the segmentation results derived from utilizing these masks as pseudo labels.
