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cs.CV2024
Open-Vocabulary Panoptic Segmentation Using BERT Pre-Training of Vision-Language Multiway Transformer Model
Yi-Chia Chen, Wei-Hua Li, Chu-Song Chen
Open-vocabulary panoptic segmentation remains a challenging problem. One of the biggest difficulties lies in training models to generalize to an unlimited number of classes using l…
cs.CL2024
ACCEPT: Adaptive Codebook for Composite and Efficient Prompt Tuning
Yu-Chen Lin, Wei-Hua Li, Jun-Cheng Chen +1
Prompt Tuning has been a popular Parameter-Efficient Fine-Tuning method attributed to its remarkable performance with few updated parameters on various large-scale pretrained Langu…
cs.AI2024
SAM4MLLM: Enhance Multi-Modal Large Language Model for Referring Expression Segmentation
Yi-Chia Chen, Wei-Hua Li, Cheng Sun +2
We introduce SAM4MLLM, an innovative approach which integrates the Segment Anything Model (SAM) with Multi-Modal Large Language Models (MLLMs) for pixel-aware tasks. Our method ena…