Summary of Rethinking Data Augmentation For Robust Lidar Semantic Segmentation in Adverse Weather, by Junsung Park et al.
Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weatherby Junsung Park, Kyungmin Kim,…
Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weatherby Junsung Park, Kyungmin Kim,…
Addressing a fundamental limitation in deep vision models: lack of spatial attentionby Ali BorjiFirst submitted…
Precision matters: Precision-aware ensemble for weakly supervised semantic segmentationby Junsung Park, Hyunjung ShimFirst submitted to…
Few-Shot Medical Image Segmentation with High-Fidelity Prototypesby Song Tang, Shaxu Yan, Xiaozhi Qi, Jianxin Gao,…
Pseudo Labelling for Enhanced Masked Autoencodersby Srinivasa Rao Nandam, Sara Atito, Zhenhua Feng, Josef Kittler,…
Fine-grained Background Representation for Weakly Supervised Semantic Segmentationby Xu Yin, Woobin Im, Dongbo Min, Yuchi…
Deep Learning-Based 3D Instance and Semantic Segmentation: A Reviewby Siddiqui Muhammad Yasir, Hyunsik AhnFirst submitted…
OpenObj: Open-Vocabulary Object-Level Neural Radiance Fields with Fine-Grained Understandingby Yinan Deng, Jiahui Wang, Jingyu Zhao,…
Beyond Bare Queries: Open-Vocabulary Object Grounding with 3D Scene Graphby Sergey Linok, Tatiana Zemskova, Svetlana…
Solution for CVPR 2024 UG2+ Challenge Track on All Weather Semantic Segmentationby Jun Yu, Yunxiang…