Summary of Anomalysd: Few-shot Multi-class Anomaly Detection with Stable Diffusion Model, by Zhenyu Yan et al.
AnomalySD: Few-Shot Multi-Class Anomaly Detection with Stable Diffusion Modelby Zhenyu Yan, Qingqing Fang, Wenxi Lv,…
AnomalySD: Few-Shot Multi-Class Anomaly Detection with Stable Diffusion Modelby Zhenyu Yan, Qingqing Fang, Wenxi Lv,…
SR-CIS: Self-Reflective Incremental System with Decoupled Memory and Reasoningby Biqing Qi, Junqi Gao, Xinquan Chen,…
Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Modelsby Fushuo Huo, Wenchao Xu, Zhong Zhang, Haozhao…
A Multi-Source Heterogeneous Knowledge Injected Prompt Learning Method for Legal Charge Predictionby Jingyun Sun, Chi…
Focus, Distinguish, and Prompt: Unleashing CLIP for Efficient and Flexible Scene Text Retrievalby Gangyan Zeng,…
Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Modelsby Yangzhen…
SentenceVAE: Enable Next-sentence Prediction for Large Language Models with Faster Speed, Higher Accuracy and Longer…
ReLiK: Retrieve and LinK, Fast and Accurate Entity Linking and Relation Extraction on an Academic…
Multi-Site Class-Incremental Learning with Weighted Experts in Echocardiographyby Kit M. Bransby, Woo-jin Cho Kim, Jorge…
Tulip Agent – Enabling LLM-Based Agents to Solve Tasks Using Large Tool Librariesby Felix Ocker,…