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Found 10 papers, 6 papers with code
Towards Unified Referring Expression Segmentation Across Omni-Level Visual Target Granularities
Referring expression segmentation (RES) aims at segmenting the entities' masks that match the descriptive language expression.
ChatSearch: a Dataset and a Generative Retrieval Model for General Conversational Image Retrieval
In this paper, we investigate the task of general conversational image retrieval on open-domain images.
Ada-K Routing: Boosting the Efficiency of MoE-based LLMs
In this paper, we propose a novel Ada-K routing strategy that dynamically adjusts the number of activated experts for each token, thereby improving the balance between computational efficiency and model performance.
EEGPT: Unleashing the Potential of EEG Generalist Foundation Model by Autoregressive Pre-training
First, we propose an electrode-wise modeling strategy that treats each electrode as a fundamental unit, enabling the integration of diverse EEG datasets collected from up to 138 electrodes, amassing 37. 5M pre-training samples.
OneDiff: A Generalist Model for Image Difference Captioning
This paper introduces the OneDiff model, a novel generalist approach that utilizes a robust vision-language model architecture, integrating a siamese image encoder with a Visual Delta Module.
Needle In A Video Haystack: A Scalable Synthetic Evaluator for Video MLLMs
In this paper, we propose VideoNIAH (Video Needle In A Haystack), a benchmark construction framework through synthetic video generation.
SC-Tune: Unleashing Self-Consistent Referential Comprehension in Large Vision Language Models
In this paper, we present and delve into the self-consistency capability of LVLMs, a crucial aspect that reflects the models' ability to both generate informative captions for specific objects and subsequently utilize these captions to accurately re-identify the objects in a closed-loop process.
Unveiling Parts Beyond Objects: Towards Finer-Granularity Referring Expression Segmentation
To foster future research into fine-grained visual grounding our benchmark RefCOCOm the MRES-32M dataset and model UniRES will be publicly available at https://github. com/Rubics-Xuan/MRES.
Unveiling Parts Beyond Objects:Towards Finer-Granularity Referring Expression Segmentation
To foster future research into fine-grained visual grounding, our benchmark RefCOCOm, the MRES-32M dataset and model UniRES will be publicly available at https://github. com/Rubics-Xuan/MRES
ChatBridge: Bridging Modalities with Large Language Model as a Language Catalyst
We show that only language-paired two-modality data is sufficient to connect all modalities.
