3.【异常分割】ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation 论文地址:arxiv.org//pdf/2401.126 开源代码(即将开源):github.com/Lszcoding/Cl 4.【点云】Self-supervised Learning of LiDAR 3D Point Clouds via 2D-3D Neural Calibration 论文地址:arxiv.org//pdf/2401.124 开源...
6.【多模态】FiGCLIP: Fine-Grained CLIP Adaptation via Densely Annotated Videos 论文地址:arxiv.org//pdf/2401.076 开源代码(即将开源):github.com/Darshansingh 7.【多模态】MM-SAP: A Comprehensive Benchmark for Assessing Self-Awareness of Multimodal Large Language Models in Perception 论文地址:arxiv...
5.【多模态】Embracing Language Inclusivity and Diversity in CLIP through Continual Language Learning 论文地址:arxiv.org//pdf/2401.171 开源代码(即将开源):github.com/yangbang18/C 6.【自动驾驶:多模态】Fourier Prompt Tuning for Modality-Incomplete Scene Segmentation 论文地址:arxiv.org//pdf/2401.169...