Summary of Investigating the Semantic Robustness Of Clip-based Zero-shot Anomaly Segmentation, by Kevin Stangl et al.
Investigating the Semantic Robustness of CLIP-based Zero-Shot Anomaly Segmentationby Kevin Stangl, Marius Arvinte, Weilin Xu,…
Investigating the Semantic Robustness of CLIP-based Zero-Shot Anomaly Segmentationby Kevin Stangl, Marius Arvinte, Weilin Xu,…
When factorization meets argumentation: towards argumentative explanationsby Jinfeng Zhong, Elsa NegreFirst submitted to arxiv on:…
CANTONMT: Investigating Back-Translation and Model-Switch Mechanisms for Cantonese-English Neural Machine Translationby Kung Yin Hong, Lifeng…
Dominion: A New Frontier for AI Researchby Danny Halawi, Aron Sarmasi, Siena Saltzen, Joshua McCoyFirst…
Summarizing Radiology Reports Findings into Impressionsby Raul Salles de Padua, Imran QureshiFirst submitted to arxiv…
TacoERE: Cluster-aware Compression for Event Relation Extractionby Yong Guan, Xiaozhi Wang, Lei Hou, Juanzi Li,…
A Primer for Preferential Non-Monotonic Propositional Team Logicsby Kai Sauerwald, Juha KontinenFirst submitted to arxiv…
Automating Creativityby Ming-Hui Huang, Roland T. RustFirst submitted to arxiv on: 11 May 2024CategoriesMain: Artificial…
Piccolo2: General Text Embedding with Multi-task Hybrid Loss Trainingby Junqin Huang, Zhongjie Hu, Zihao Jing,…
AraSpell: A Deep Learning Approach for Arabic Spelling Correctionby Mahmoud Salhab, Faisal Abu-KhzamFirst submitted to…