Summary of Protosam: One-shot Medical Image Segmentation with Foundational Models, by Lev Ayzenberg et al.
ProtoSAM: One-Shot Medical Image Segmentation With Foundational Modelsby Lev Ayzenberg, Raja Giryes, Hayit GreenspanFirst submitted…
ProtoSAM: One-Shot Medical Image Segmentation With Foundational Modelsby Lev Ayzenberg, Raja Giryes, Hayit GreenspanFirst submitted…
HRSAM: Efficient Interactive Segmentation in High-Resolution Imagesby You Huang, Wenbin Lai, Jiayi Ji, Liujuan Cao,…
SAVE: Segment Audio-Visual Easy way using Segment Anything Modelby Khanh-Binh Nguyen, Chae Jung ParkFirst submitted…
Point-SAM: Promptable 3D Segmentation Model for Point Cloudsby Yuchen Zhou, Jiayuan Gu, Tung Yen Chiang,…
Boosting Medical Image Classification with Segmentation Foundation Modelby Pengfei Gu, Zihan Zhao, Hongxiao Wang, Yaopeng…
ALPS: An Auto-Labeling and Pre-training Scheme for Remote Sensing Segmentation With Segment Anything Modelby Song…
RobustSAM: Segment Anything Robustly on Degraded Imagesby Wei-Ting Chen, Yu-Jiet Vong, Sy-Yen Kuo, Sizhuo Ma,…
Unsupervised Object Detection with Theoretical Guaranteesby Marian Longa, João F. HenriquesFirst submitted to arxiv on:…
SAM-PM: Enhancing Video Camouflaged Object Detection using Spatio-Temporal Attentionby Muhammad Nawfal Meeran, Gokul Adethya T,…
Solution for SMART-101 Challenge of CVPR Multi-modal Algorithmic Reasoning Task 2024by Jinwoo Ahn, Junhyeok Park,…