daily-paper-tool
Introduction
Ryan 的科研论文雷达。在顶会(CVPR/ICCV/ECCV、NeurIPS/ICML/ICLR/AAAI、CoRL/RSS/ICRA、ACL/EMNLP、USENIX Security/CCS/S&P)与顶刊(IEEE TPAMI/TIFS/TNNLS/TMC/TPDS/TKDE、JMLR)中按四大方向检索高相关论文:(1) 图像视觉感知——目标检测/实例分割/开放词表检测/缺陷与视觉异常/点云3D视觉/模式识别;(2) 多模态与视觉-语言——多模态融合(RGB/IR/Depth/LiDAR/Event)/缺失模态鲁棒/VLM/MLLM/跨模态检索;(3) 联邦与分布式学习——个性化联邦/联邦大模型(FedLoRA)/联邦持续学习/联邦异常检测/去中心化/通信高效/差分隐私/拜占庭鲁棒;(4) 具身智能与多智能体——VLA/联邦VLA/具身大模型/多智能体系统。KAN 与 MoE 作为跨方向加权方法。Use this skill whenever Ryan asks to 调研/跟踪/检索/筛 论文,wants a 日报(daily report)or 周报(weekly summary),needs to find new papers/methods/benchmarks/code repos,or maintain a paper inventory across these directions and venues — trigger even when only one direction or one venue is mentioned. Always excludes 视频/扩散模型/视觉SLAM与地图/纯机器人本体/时序预测/域泛化/纯数据集发布类论文。
Resource Information
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