3PT surpasses task-specialized models for detection and pose estimation, often achieving double-digit percentage improvements on the diverse BOP-benchmarks, and in some cases outperforming non zero-shot methods.
This work proposes a framework for detailed object-level reasoning across multiple objects with three components: MO3D, an instruction dataset requiring fine-grained multi-object comparison; Multi-3DLLM, using a minimal Patch-Interaction Transformer (PIT) that models inter-/intra-object relationships while preserving l...
K. Ide, Ryousuke Yamada, Yue Qiu et al.· 2026 IEEE/CVF Conference on...· 1 citation· ⚡1
Monocular temporal 3D detection aims to detect objects in 3D, given a monocular video. Query-based 3D detectors unify detection and cross-view association, but their learnable queries fit the spatial distribution of the training data (e.g., field-of-view). We show that this issue is especially severe when these models...
M. Kotb, Johannes Meier, Christoph Reich et al.· 0 citations
Across a range of detection transformer models, the results show a surprisingly strong and previously unknown ability of 2D DETR models to represent useful information about the 3D properties of objects, despite the complete lack of 3D supervision during model pre-training.
Robin Kim, Colin Samplawski, Benjamin M. Marlin· 0 citations
Map-Det3D is an online multi-view 3D object detection model that brings detection directly into a 3D space reconstructed from RGB, suggesting that training reconstruction priors for detection is a practical route to stable metric 3D detection from monocular video.
Yung-Hsu Yang, Luigi Piccinelli, S. R. Bulò et al.· 1 citation
This work presents FunFlow6D, a novel flow matching-based formulation that leverages features from geometric and appearance foundation models for pose estimation, eliminating the need for task-specific encoders supervised on object-scene overlap and reducing supervision requirements and memory overhead.
Amir Hamza, Davide Boscaini, Fabio Poiesi· 0 citations
In intelligent transportation, roadside perception systems act as city’s eyes. However, monocular camera-based 3D object detection remains challenging, as inferring 3D geometry from 2D images is ill-posed, especially under occlusion, scale variation, and adverse weather. To address this, we propose MonoYOLO, featuring...
Rong-Hui Liang, Juan Du· International Conference on...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.