Uncovering the Inner Workings of STEGO for Safe Unsupervised Semantic Segmentation

14 April 2023

Papers citing "Uncovering the Inner Workings of STEGO for Safe Unsupervised Semantic Segmentation"

10 / 10 papers shown

Title
Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals Oliver Hahn Nikita Araslanov Simone Schaub-Meyer Stefan Roth 3DPC 31 3 0 25 Apr 2024
EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models Koichi Namekata Amirmojtaba Sabour Sanja Fidler Seung Wook Kim 42 17 0 22 Jan 2024
Causal Unsupervised Semantic Segmentation Junho Kim Byung-Kwan Lee Yonghyun Ro 18 18 0 11 Oct 2023
Unsupervised Semantic Segmentation Through Depth-Guided Feature Correlation and Sampling Leon Sick Dominik Engel Pedro Hermosilla Timo Ropinski 20 7 0 21 Sep 2023
VDD: Varied Drone Dataset for Semantic Segmentation Wenxiao Cai Ke Jin Jinyan Hou Cong Guo Letian Wu Wankou Yang 33 9 0 23 May 2023
Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D Image Representations Vadim Tschernezki Iro Laina Diane Larlus Andrea Vedaldi 168 184 0 07 Sep 2022
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
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals Wouter Van Gansbeke Simon Vandenhende Stamatios Georgoulis Luc Van Gool SSL 185 247 0 11 Feb 2021
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation Jiwoon Ahn Suha Kwak 211 739 0 28 Mar 2018
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 279 39,083 0 01 Sep 2014