Sam-clip: Merging vision foundation models towards semantic and spatial understanding
The landscape of publicly available vision foundation models (VFMs) such as CLIP and
SAM is expanding rapidly. VFMs are endowed with distinct capabilities stemming from their …
SAM is expanding rapidly. VFMs are endowed with distinct capabilities stemming from their …
Llm2clip: Powerful language model unlock richer visual representation
W Huang, A Wu, Y Yang, X Luo, Y Yang, L Hu… - arxiv preprint arxiv …, 2024 - arxiv.org
CLIP is one of the most important multimodal foundational models today. What powers
CLIP's capabilities? The rich supervision signals provided by natural language, the carrier of …
CLIP's capabilities? The rich supervision signals provided by natural language, the carrier of …
Advancing Multi-Modal Sensing Through Expandable Modality Alignment
Sensing technology is widely used for comprehending the physical world, with numerous
modalities explored in past decades. While there has been considerable work on multi …
modalities explored in past decades. While there has been considerable work on multi …
[HTML][HTML] SeFi-CD: A Semantic First Change Detection Paradigm That Can Detect Any Change You Want
L Zhao, Z Huang, Y Wang, C Peng, J Gan, H Li, C Hu - Remote Sensing, 2024 - mdpi.com
The existing change detection (CD) methods can be summarized as the visual-first change
detection (ViFi-CD) paradigm, which first extracts change features from visual differences …
detection (ViFi-CD) paradigm, which first extracts change features from visual differences …
LLM2CLIP: Extending the Capability Boundaries of CLIP through Large Language Models
CLIP is one of the most important multimodal foundational models today, aligning visual and
textual signals into a shared feature space using a simple contrastive learning loss on large …
textual signals into a shared feature space using a simple contrastive learning loss on large …
LLM2CLIP: Powerful Language Model Unlock Richer Visual Representation
A Wu, Y Yang, X Luo, Y Yang, C Wang, L Hu… - NeurIPS 2024 Workshop … - openreview.net
CLIP is one of the most important foundational multimodal models today. It aligns image and
text modalities into a shared feature space by leveraging a simple contrastive learning loss …
text modalities into a shared feature space by leveraging a simple contrastive learning loss …