MOVE: Unsupervised Movable Object Segmentation and Detection

14 October 2022

Papers citing "MOVE: Unsupervised Movable Object Segmentation and Detection"

10 / 10 papers shown

Title
Joint-Embedding Predictive Architecture for Self-Supervised Learning of Mask Classification Architecture Donghee Kim Sungduk Cho Hyeonwoo Cho Chanmin Park Jinyoung Kim Won Hwa Kim 33 0 0 15 Jul 2024
A Lightweight Clustering Framework for Unsupervised Semantic Segmentation Yau Shing Jonathan Cheung Xi Chen Lihe Yang Hengshuang Zhao 12 1 0 30 Nov 2023
u-LLaVA: Unifying Multi-Modal Tasks via Large Language Model Jinjin Xu Liwu Xu Yuzhe Yang Xiang Li Fanyi Wang Yanchun Xie Yi-Jie Huang Yaqian Li MoE MLLM VLM 24 12 0 09 Nov 2023
SEMPART: Self-supervised Multi-resolution Partitioning of Image Semantics Sriram Ravindran Debraj Basu 24 2 0 20 Sep 2023
Learn from Incomplete Tactile Data: Tactile Representation Learning with Masked Autoencoders G. Cao Jiaqi Jiang Danushka Bollegala Shan Luo 15 10 0 14 Jul 2023
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
Localizing Objects with Self-Supervised Transformers and no Labels Oriane Siméoni Gilles Puy Huy V. Vo Simon Roburin Spyros Gidaris Andrei Bursuc P. Pérez Renaud Marlet Jean Ponce ViT 161 195 0 29 Sep 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 283 5,723 0 29 Apr 2021
Generating Images Part by Part with Composite Generative Adversarial Networks Hanock Kwak Byoung-Tak Zhang GAN 63 40 0 19 Jul 2016
The Fast Bilateral Solver Jonathan T. Barron Ben Poole 164 371 0 10 Nov 2015