Final Segmentation

Final segmentation in image and point cloud analysis aims to accurately delineate objects or regions of interest within data, often as a crucial step in higher-level tasks like object recognition or medical diagnosis. Current research emphasizes leveraging powerful vision-language models, transformers, and diffusion probabilistic models to achieve robust and accurate segmentation, often incorporating techniques like multi-scale feature fusion, attention mechanisms, and unsupervised learning approaches. These advancements are driving improvements in various applications, including medical image analysis (e.g., COVID-19 detection, skin lesion segmentation), autonomous driving, and 3D scene understanding, where precise segmentation is essential for effective decision-making.

Papers

October 13, 2024

Improving 3D Few-Shot Segmentation with Inference-Time Pseudo-Labeling
Mohammad Mozafari, Hosein Hasani, Reza Vahidimajd, Mohamadreza Fereydooni, Mahdieh Soleymani Baghshah
Segmentation Mask Shot Segmentation Inference Time Shot 3D Final Segmentation

July 22, 2024

SAM2CLIP2SAM: Vision Language Model for Segmentation of 3D CT Scans for Covid-19 Detection
Dimitrios Kollias, Anastasios Arsenos, James Wingate, Stefanos Kollias
Segmentation Based Approach Segmentation Mask COVID 19 Detection 3d Ct Final Segmentation

December 7, 2023

PartDistill: 3D Shape Part Segmentation by Vision-Language Model Distillation
Ardian Umam, Cheng-Kun Yang, Min-Hung Chen, Jen-Hui Chuang, Yen-Yu Lin
Knowledge Distillation 3D Segmentation Part Segmentation Cross Modal Distillation Final Segmentation

May 25, 2023

GrowSP: Unsupervised Semantic Segmentation of 3D Point Clouds
Zihui Zhang, Bo Yang, Bing Wang, Bo Li
3D Point Cloud 3D Semantic Segmentation Unsupervised Semantic Segmentation PointNet Model 3D Semantic Final Segmentation Unsupervised 3D

February 25, 2023

Temporal Segment Transformer for Action Segmentation
Zhichao Liu, Leshan Wang, Desen Zhou, Jian Wang, Songyang Zhang, Yang Bai, Errui Ding, Rui Fan
Temporal Transformer Action Segmentation Relation Modeling Final Segmentation Segment Representation Segmental Attention

December 16, 2022

CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation
Yuqi Lin, Minghao Chen, Wenxiao Wang, Boxi Wu, Ke Li, Binbin Lin, Haifeng Liu, Xiaofei He
Semantic Segmentation Single CLIP Segmentation Mask Weakly Supervised Semantic Segmentation Image Level Label Text to Text Efficient Segmentation Final Segmentation

August 20, 2022

PARSE challenge 2022: Pulmonary Arteries Segmentation using Swin U-Net Transformer(Swin UNETR) and U-Net
Akansh Maurya, Kunal Dashrath Patil, Rohan Padhy, Kalluri Ramakrishna, Ganapathy Krishnamurthi
U Net Document Parsing 3D U Net Final Segmentation Pulmonary Hypertension Swin Unet TRansformer Pulmonary Artery

June 17, 2022

CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation
Qihang Yu, Huiyu Wang, Dahun Kim, Siyuan Qiao, Maxwell Collins, Yukun Zhu, Hartwig Adam, Alan Yuille, Liang-Chieh Chen
Panoptic Segmentation Mask Transformer Final Segmentation

June 13, 2022

Discovering Object Masks with Transformers for Unsupervised Semantic Segmentation
Wouter Van Gansbeke, Simon Vandenhende, Luc Van Gool
Semantic Segmentation Transformer Megatron Decepticons Unsupervised Semantic Segmentation Object Mask Final Segmentation Initial Segmentation

April 21, 2022

DooDLeNet: Double DeepLab Enhanced Feature Fusion for Thermal-color Semantic Segmentation
Oriel Frigo, Lucien Martin-Gaffé, Catherine Wacongne
Semantic Segmentation Feature Fusion Deep Feature Fusion Final Segmentation Thermal Semantic Segmentation

March 27, 2022

MFSNet: A Multi Focus Segmentation Network for Skin Lesion Segmentation
Hritam Basak, Rohit Kundu, Ram Sarkar
Convolutional Neural Network Skin Lesion Segmentation Final Segmentation

February 7, 2022

PSSNet: Planarity-sensible Semantic Segmentation of Large-scale Urban Meshes
Weixiao Gao, Liangliang Nan, Bas Boom, Hugo Ledoux
Semantic Segmentation 3D City Final Segmentation Planarity Sensible Over Segmentation Semantic Mesh

December 2, 2021

TransFGU: A Top-down Approach to Fine-Grained Unsupervised Semantic Segmentation
Zhaoyuan Yin, Pichao Wang, Fan Wang, Xianzhe Xu, Hanling Zhang, Hao Li, Rong Jin
Semantic Segmentation Fine Grained Unsupervised Segmentation Segmentation Framework Final Segmentation Bottom Up Framework

December 1, 2021

SegDiff: Image Segmentation with Diffusion Probabilistic Models
Tomer Amit, Tal Shaharbany, Eliya Nachmani, Lior Wolf
Image Segmentation Diffusion Probabilistic Model Segmentation Map Building Segmentation Final Segmentation