From 4835ef7acc5ed2bd27b309e2dabec0b064888c49 Mon Sep 17 00:00:00 2001 From: Kadir Yilmaz Date: Fri, 12 Jan 2024 18:02:11 +0100 Subject: [PATCH] Rename to MASK4D --- docs/index.html | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/docs/index.html b/docs/index.html index dd3f5af..4a8a3df 100644 --- a/docs/index.html +++ b/docs/index.html @@ -3,10 +3,10 @@ - + - Mask4D: Mask Transformer for 4D Panoptic Segmentation + MASK4D: Mask Transformer for 4D Panoptic Segmentation @@ -28,9 +28,9 @@
-

Mask4D MASK4D logo of the project

-

Mask4D: Mask Transformer for 4D Panoptic Segmentation

+

MASK4D: Mask Transformer for 4D Panoptic Segmentation

@@ -111,22 +111,22 @@

Abstract

- TL;DR: Mask4D is a transformer-based model for 4D Panoptic Segmentation, achieving a new + TL;DR: MASK4D is a transformer-based model for 4D Panoptic Segmentation, achieving a new state-of-the-art performance on the SemanticKITTI test set.

Accurately perceiving and tracking instances over time is essential for the decision-making processes of autonomous agents interacting safely in dynamic environments. - With this intention, we propose Mask4D for the challenging task of 4D panoptic segmentation of LiDAR point + With this intention, we propose MASK4D for the challenging task of 4D panoptic segmentation of LiDAR point clouds.

- Mask4D is the first transformer-based approach unifying semantic instance segmentation and tracking of + MASK4D is the first transformer-based approach unifying semantic instance segmentation and tracking of sparse and irregular sequences of 3D point clouds into a single joint model. Our model directly predicts semantic instances and their temporal associations without relying on any hand-crafted non-learned association strategies such as probabilistic clustering or voting-based center prediction. - Instead, Mask4D introduces spatio-temporal instance queries which encode the semantic and geometric + Instead, MASK4D introduces spatio-temporal instance queries which encode the semantic and geometric properties of each semantic tracklet in the sequence.

@@ -137,7 +137,7 @@

Abstract

as an auxiliary task to foster spatially compact predictions.

- Mask4D achieves a new state-of-the-art on the SemanticKITTI test set with a score of 68.4 LSTQ, improving + MASK4D achieves a new state-of-the-art on the SemanticKITTI test set with a score of 68.4 LSTQ, improving upon published top-performing methods by at least +4.5\%.

@@ -165,7 +165,7 @@

Video

BibTeX

@article{yilmaz2023mask4d,
-      title     = {{Mask4D: Mask Transformer for 4D Panoptic Segmentation}},
+      title     = {{MASK4D: Mask Transformer for 4D Panoptic Segmentation}},
       author    = {Yilmaz, Kadir and Schult, Jonas and Nekrasov, Alexey and Leibe, Bastian},
       journal   = {arXiv prepring arXiv:2309.16133},
       year      = {2023}