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1.【点云3D目标检测】NeurIPS2023Flow-Based Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection 论文地址https://arxiv.org//pdf/2311.01682 开源代码GitHub - haibao-yu/FFNet-VIC3D 2.【多模态】NeurIPS2023FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation 论文地址https://arxiv.org//pdf/2311.01813 开源代码GitHub - llyx97/FETV: [NeurIPS 2023 Datasets and Benchmarks] FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation, Yuanxin Liu, Lei Li, Shuhuai Ren, Rundong Gao, Shicheng Li, Sishuo Chen, Xu Sun, Lu Hou 3.【多模态】MixCon3D: Synergizing Multi-View and Cross-Modal Contrastive Learning for Enhancing 3D Representation 论文地址https://arxiv.org//pdf/2311.01734 开源代码GitHub - UCSC-VLAA/MixCon3D: The official implementation of paper MixCon3D: Synergizing Multi-View and Cross-Modal Contrastive Learning for Enhancing 3D Representation 4.【多模态】SIGGRAPH Asia 2023EXIM: A Hybrid Explicit-Implicit Representation for Text-Guided 3D Shape Generation 论文地址https://arxiv.org//pdf/2311.01714 开源代码GitHub - liuzhengzhe/EXIM: SIGGRAPH Asia 2023 TOG 5.【多模态】WACV2024Improving Fairness using Vision-Language Driven Image Augmentation 论文地址https://arxiv.org//pdf/2311.01573 开源代码即将开源GitHub - Moreno98/Vision-Language-Bias-Control: Official implementation of the paper Improving Fairness using Vision-Language Driven Image Augmentation accepted at WACV 24. 6.【多模态】What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction Tuning 论文地址https://arxiv.org//pdf/2311.01487 开源代码GitHub - RUCAIBox/ComVint: The official GitHub page for What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction Tuning 7.【多模态】FAITHSCORE: Evaluating Hallucinations in Large Vision-Language Models 论文地址https://arxiv.org//pdf/2311.01477 开源代码即将开源GitHub - bcdnlp/FAITHSCORE 8.【视频理解】VQPy: An Object-Oriented Approach to Modern Video Analytics 论文地址https://arxiv.org//pdf/2311.01623 开源代码GitHub - vqpy/vqpy: VQPy: An object-oriented approach to modern video analytics 9.【姿态估计】ICLR2023Modeling the Uncertainty with Maximum Discrepant Students for Semi-supervised 2D Pose Estimation 论文地址https://arxiv.org//pdf/2311.01770 开源代码GitHub - Qi2019KB/MDSs at master 10.【NeRF】EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision 论文地址https://arxiv.org//pdf/2311.02077 工程主页EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision 开源代码GitHub - NVlabs/EmerNeRF: PyTorch Implementation of EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision 论文已打包下载链接
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