Summary of Real-time Pedestrian Detection on Iot Edge Devices: a Lightweight Deep Learning Approach, by Muhammad Dany Alfikri et al.
Real-Time Pedestrian Detection on IoT Edge Devices: A Lightweight Deep Learning Approachby Muhammad Dany Alfikri,…
Summary of Goal-based Neural Physics Vehicle Trajectory Prediction Model, by Rui Gan et al.
Goal-based Neural Physics Vehicle Trajectory Prediction Modelby Rui Gan, Haotian Shi, Pei Li, Keshu Wu,…
Summary of Ca-bert: Leveraging Context Awareness For Enhanced Multi-turn Chat Interaction, by Minghao Liu et al.
CA-BERT: Leveraging Context Awareness for Enhanced Multi-Turn Chat Interactionby Minghao Liu, Mingxiu Sui, Yi Nan,…
Summary of Optimizing the Songwriting Process: Genre-based Lyric Generation Using Deep Learning Models, by Tracy Cai et al.
Optimizing the Songwriting Process: Genre-Based Lyric Generation Using Deep Learning Modelsby Tracy Cai, Wilson Liang,…
Summary of Meliad: Interpretable Few-shot Anomaly Detection with Metric Learning and Entropy-based Scoring, by Eirini Cholopoulou et al.
MeLIAD: Interpretable Few-Shot Anomaly Detection with Metric Learning and Entropy-based Scoringby Eirini Cholopoulou, Dimitris K.…
Summary of Analyzing Mixed Construction and Demolition Waste in Material Recovery Facilities: Evolution, Challenges, and Applications Of Computer Vision and Deep Learning, by Adrian Langley et al.
Analyzing mixed construction and demolition waste in material recovery facilities: evolution, challenges, and applications of…
Summary of Id-guard: a Universal Framework For Combating Facial Manipulation Via Breaking Identification, by Zuomin Qu et al.
ID-Guard: A Universal Framework for Combating Facial Manipulation via Breaking Identificationby Zuomin Qu, Wei Lu,…
Summary of Validation & Exploration Of Multimodal Deep-learning Camera-lidar Calibration Models, by Venkat Karramreddy et al.
Validation & Exploration of Multimodal Deep-Learning Camera-Lidar Calibration modelsby Venkat Karramreddy, Liam MitchellFirst submitted to…
Summary of Maskmol: Knowledge-guided Molecular Image Pre-training Framework For Activity Cliffs, by Zhixiang Cheng et al.
MaskMol: Knowledge-guided Molecular Image Pre-Training Framework for Activity Cliffsby Zhixiang Cheng, Hongxin Xiang, Pengsen Ma,…
Summary of Efcm: Efficient Fine-tuning on Compressed Models For Deployment Of Large Models in Medical Image Analysis, by Shaojie Li and Zhaoshuo Diao
EFCM: Efficient Fine-tuning on Compressed Models for deployment of large models in medical image analysisby…