Abstract: This paper addresses the limitations of the Contrastive Language-Image Pre-training (CLIP) model’s image encoder and proposes a segmentation model WSSS-ECFE with enhanced CLIP feature ...
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 human knowledge, ...
The official implementation of CLIP-EBC, proposed in the paper CLIP-EBC: CLIP Can Count Accurately through Enhanced Blockwise Classification. @article{ma2024clip, title={CLIP-EBC: CLIP Can Count ...
Abstract: Vision-language models (VLMs) have shown remarkable potential in various domains, particularly in zero-shot learning applications. This research focuses on evaluating the performance of ...
The Déjà Vu Memorization framework allows for evaluating the memorization in CLIP models. The code is based on the paper titled `Déjà Vu Memorization in Vision--Language Models' (see here). This ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback