Summary of Dae-fuse: An Adaptive Discriminative Autoencoder For Multi-modality Image Fusion, by Yuchen Guo et al.
DAE-Fuse: An Adaptive Discriminative Autoencoder for Multi-Modality Image Fusionby Yuchen Guo, Ruoxiang Xu, Rongcheng Li,…
Summary of Abnormal Event Detection in Videos Using Deep Embedding, by Darshan Venkatrayappa
Abnormal Event Detection In Videos Using Deep Embeddingby Darshan VenkatrayappaFirst submitted to arxiv on: 15…
Summary of Foundations For Unfairness in Anomaly Detection — Case Studies in Facial Imaging Data, by Michael Livanos and Ian Davidson
Foundations for Unfairness in Anomaly Detection – Case Studies in Facial Imaging Databy Michael Livanos,…
Summary of Semi-supervised Classification Of Dental Conditions in Panoramic Radiographs Using Large Language Model and Instance Segmentation: a Real-world Dataset Evaluation, by Bernardo Silva et al.
Semi-supervised classification of dental conditions in panoramic radiographs using large language model and instance segmentation:…
Summary of An Elliptic Kernel Unsupervised Autoencoder-graph Convolutional Network Ensemble Model For Hyperspectral Unmixing, by Estefania Alfaro-mejia et al.
An Elliptic Kernel Unsupervised Autoencoder-Graph Convolutional Network Ensemble Model for Hyperspectral Unmixingby Estefania Alfaro-Mejia, Carlos…
Summary of Text-to-events: Synthetic Event Camera Streams From Conditional Text Input, by Joachim Ott et al.
Text-to-Events: Synthetic Event Camera Streams from Conditional Text Inputby Joachim Ott, Zuowen Wang, Shih-Chii LiuFirst…
Summary of Multi-label Class Incremental Emotion Decoding with Augmented Emotional Semantics Learning, by Kaicheng Fu et al.
Multi-label Class Incremental Emotion Decoding with Augmented Emotional Semantics Learningby Kaicheng Fu, Changde Du, Xiaoyu…
Summary of Letsmap: Unsupervised Representation Learning For Semantic Bev Mapping, by Nikhil Gosala et al.
LetsMap: Unsupervised Representation Learning for Semantic BEV Mappingby Nikhil Gosala, Kürsat Petek, B Ravi Kiran,…
Summary of Minimaxad: a Lightweight Autoencoder For Feature-rich Anomaly Detection, by Fengjie Wang et al.
MiniMaxAD: A Lightweight Autoencoder for Feature-Rich Anomaly Detectionby Fengjie Wang, Chengming Liu, Lei Shi, Pang…
Summary of Efficient Text-driven Motion Generation Via Latent Consistency Training, by Mengxian Hu et al.
Efficient Text-driven Motion Generation via Latent Consistency Trainingby Mengxian Hu, Minghao Zhu, Xun Zhou, Qingqing…