LLaVA-SLT: Visual Language Tuning for Sign Language Translation
Fuente:
arXiv
Saved in:
| Main Authors: | Liang, Han, Huang, Chengyu, Xu, Yuecheng, Tang, Cheng, Ye, Weicai, Zhang, Juze, Chen, Xin, Yu, Jingyi, Xu, Lan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LLaVA-c: Continual Improved Visual Instruction Tuning
by: Liu, Wenzhuo, et al.
Published: (2025)
by: Liu, Wenzhuo, et al.
Published: (2025)
LLaVA-SG: Leveraging Scene Graphs as Visual Semantic Expression in Vision-Language Models
by: Wang, Jingyi, et al.
Published: (2024)
by: Wang, Jingyi, et al.
Published: (2024)
Continual LLaVA: Continual Instruction Tuning in Large Vision-Language Models
by: Cao, Meng, et al.
Published: (2024)
by: Cao, Meng, et al.
Published: (2024)
MG-LLaVA: Towards Multi-Granularity Visual Instruction Tuning
by: Zhao, Xiangyu, et al.
Published: (2024)
by: Zhao, Xiangyu, et al.
Published: (2024)
Cosmos-LLaVA: Chatting with the Visual Cosmos-LLaVA: Görselle Sohbet Etmek
by: Zeer, Ahmed, et al.
Published: (2024)
by: Zeer, Ahmed, et al.
Published: (2024)
ATP-LLaVA: Adaptive Token Pruning for Large Vision Language Models
by: Ye, Xubing, et al.
Published: (2024)
by: Ye, Xubing, et al.
Published: (2024)
MoE-LLaVA: Mixture of Experts for Large Vision-Language Models
by: Lin, Bin, et al.
Published: (2024)
by: Lin, Bin, et al.
Published: (2024)
LLaVA-VSD: Large Language-and-Vision Assistant for Visual Spatial Description
by: Jin, Yizhang, et al.
Published: (2024)
by: Jin, Yizhang, et al.
Published: (2024)
LLaVA-MoD: Making LLaVA Tiny via MoE Knowledge Distillation
by: Shu, Fangxun, et al.
Published: (2024)
by: Shu, Fangxun, et al.
Published: (2024)
u-LLaVA: Unifying Multi-Modal Tasks via Large Language Model
by: Xu, Jinjin, et al.
Published: (2023)
by: Xu, Jinjin, et al.
Published: (2023)
HiRes-LLaVA: Restoring Fragmentation Input in High-Resolution Large Vision-Language Models
by: Huang, Runhui, et al.
Published: (2024)
by: Huang, Runhui, et al.
Published: (2024)
Dr-LLaVA: Visual Instruction Tuning with Symbolic Clinical Grounding
by: Sun, Shenghuan, et al.
Published: (2024)
by: Sun, Shenghuan, et al.
Published: (2024)
TG-LLaVA: Text Guided LLaVA via Learnable Latent Embeddings
by: Yan, Dawei, et al.
Published: (2024)
by: Yan, Dawei, et al.
Published: (2024)
LLaVA-CoT: Let Vision Language Models Reason Step-by-Step
by: Xu, Guowei, et al.
Published: (2024)
by: Xu, Guowei, et al.
Published: (2024)
SQ-LLaVA: Self-Questioning for Large Vision-Language Assistant
by: Sun, Guohao, et al.
Published: (2024)
by: Sun, Guohao, et al.
Published: (2024)
MC-LLaVA: Multi-Concept Personalized Vision-Language Model
by: An, Ruichuan, et al.
Published: (2025)
by: An, Ruichuan, et al.
Published: (2025)
MC-LLaVA: Multi-Concept Personalized Vision-Language Model
by: An, Ruichuan, et al.
Published: (2024)
by: An, Ruichuan, et al.
Published: (2024)
LLaVA-RE: Binary Image-Text Relevancy Evaluation with Multimodal Large Language Model
by: Sun, Tao, et al.
Published: (2025)
by: Sun, Tao, et al.
Published: (2025)
LLaVA-Phi: Efficient Multi-Modal Assistant with Small Language Model
by: Zhu, Yichen, et al.
Published: (2024)
by: Zhu, Yichen, et al.
Published: (2024)
LLaVA-Video: Video Instruction Tuning With Synthetic Data
by: Zhang, Yuanhan, et al.
Published: (2024)
by: Zhang, Yuanhan, et al.
Published: (2024)
LLaVA-MR: Large Language-and-Vision Assistant for Video Moment Retrieval
by: Lu, Weiheng, et al.
Published: (2024)
by: Lu, Weiheng, et al.
Published: (2024)
LLaVA-Critic: Learning to Evaluate Multimodal Models
by: Xiong, Tianyi, et al.
Published: (2024)
by: Xiong, Tianyi, et al.
Published: (2024)
DiffSLT: Enhancing Diversity in Sign Language Translation via Diffusion Model
by: Moon, JiHwan, et al.
Published: (2024)
by: Moon, JiHwan, et al.
Published: (2024)
LLaVA-LE: Large Language-and-Vision Assistant for Lunar Exploration
by: Inal, Gokce, et al.
Published: (2026)
by: Inal, Gokce, et al.
Published: (2026)
AVG-LLaVA: An Efficient Large Multimodal Model with Adaptive Visual Granularity
by: Lan, Zhibin, et al.
Published: (2024)
by: Lan, Zhibin, et al.
Published: (2024)
Video-LLaVA: Learning United Visual Representation by Alignment Before Projection
by: Lin, Bin, et al.
Published: (2023)
by: Lin, Bin, et al.
Published: (2023)
SCOPE: Sign Language Contextual Processing with Embedding from LLMs
by: Liu, Yuqi, et al.
Published: (2024)
by: Liu, Yuqi, et al.
Published: (2024)
LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations
by: Xu, Mingjie, et al.
Published: (2024)
by: Xu, Mingjie, et al.
Published: (2024)
LLaVA-Ultra: Large Chinese Language and Vision Assistant for Ultrasound
by: Guo, Xuechen, et al.
Published: (2024)
by: Guo, Xuechen, et al.
Published: (2024)
LLaVA-Read: Enhancing Reading Ability of Multimodal Language Models
by: Zhang, Ruiyi, et al.
Published: (2024)
by: Zhang, Ruiyi, et al.
Published: (2024)
Why do LLaVA Vision-Language Models Reply to Images in English?
by: Hinck, Musashi, et al.
Published: (2024)
by: Hinck, Musashi, et al.
Published: (2024)
Dynamic-LLaVA: Efficient Multimodal Large Language Models via Dynamic Vision-language Context Sparsification
by: Huang, Wenxuan, et al.
Published: (2024)
by: Huang, Wenxuan, et al.
Published: (2024)
When LLaVA Meets Objects: Token Composition for Vision-Language-Models
by: Jahagirdar, Soumya, et al.
Published: (2026)
by: Jahagirdar, Soumya, et al.
Published: (2026)
LLaVA-KD: A Framework of Distilling Multimodal Large Language Models
by: Cai, Yuxuan, et al.
Published: (2024)
by: Cai, Yuxuan, et al.
Published: (2024)
LLaVA-OneVision: Easy Visual Task Transfer
by: Li, Bo, et al.
Published: (2024)
by: Li, Bo, et al.
Published: (2024)
LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs
by: Lou, Haoran, et al.
Published: (2025)
by: Lou, Haoran, et al.
Published: (2025)
WSI-LLaVA: A Multimodal Large Language Model for Whole Slide Image
by: Liang, Yuci, et al.
Published: (2024)
by: Liang, Yuci, et al.
Published: (2024)
LLaVA-MORE: A Comparative Study of LLMs and Visual Backbones for Enhanced Visual Instruction Tuning
by: Cocchi, Federico, et al.
Published: (2025)
by: Cocchi, Federico, et al.
Published: (2025)
MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models
by: Zhao, Qiyan, et al.
Published: (2025)
by: Zhao, Qiyan, et al.
Published: (2025)
SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models
by: Xu, Mingze, et al.
Published: (2024)
by: Xu, Mingze, et al.
Published: (2024)
Similar Items
-
LLaVA-c: Continual Improved Visual Instruction Tuning
by: Liu, Wenzhuo, et al.
Published: (2025) -
LLaVA-SG: Leveraging Scene Graphs as Visual Semantic Expression in Vision-Language Models
by: Wang, Jingyi, et al.
Published: (2024) -
Continual LLaVA: Continual Instruction Tuning in Large Vision-Language Models
by: Cao, Meng, et al.
Published: (2024) -
MG-LLaVA: Towards Multi-Granularity Visual Instruction Tuning
by: Zhao, Xiangyu, et al.
Published: (2024) -
Cosmos-LLaVA: Chatting with the Visual Cosmos-LLaVA: Görselle Sohbet Etmek
by: Zeer, Ahmed, et al.
Published: (2024)