FLOAT: Factorized Learning of Object Attributes for Improved Multi-object Multi-part Scene Parsing

Author:

Singh Rishubh1,Gupta Pranav2,Shenoy Pradeep1,Sarvadevabhatla Ravikiran2

Affiliation:

1. Google Research

2. IIIT Hyderabad

Publisher

IEEE

Reference60 articles.

1. Learning discriminative part de-tectors for image classification and cosegmentation;sun;Pro-ceedings of the IEEE international conference on computer,2013

2. Embedding 3D Geometric Features for Rigid Object Part Segmentation

3. From Red Wine to Red Tomato: Composition with Context

4. GMNet: Graph Matching Network for Large Scale Part Semantic Segmentation in the Wild

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1. Parsing Objects at a Finer Granularity: A Survey;Machine Intelligence Research;2024-01-12

2. HO3-SLAM: Human-Object Occlusion Ordering as Add-on for Enhancing Traversability Prediction in Dynamic SLAM;2023 IEEE 13th International Conference on Pattern Recognition Systems (ICPRS);2023-07-04

3. Towards Open-World Segmentation of Parts;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

4. Semantic Hierarchy-Aware Segmentation;IEEE Transactions on Pattern Analysis and Machine Intelligence;2023

5. HO3-SLAM: Human-Object Occlusion Ordering SLAM Framework for Traversability Prediction;Lecture Notes in Computer Science;2023

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