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20 hours ago · Most recent self-supervised monocular depth estimation studies have used convolutional neural networks or networks fused with Transformers for inference.
19 hours ago · Carneiro, Self-supervised monocular trained depth estimation using self-attention and discrete disparity volume, in Proceedings of the ieee/cvf conference ...
4 minutes ago · This paper introduces a framework for integrating LLMs to achieve end-to-end control of industrial automation systems. 0. 26 Sep 2024.
Missing: supervised | Show results with:supervised
13 hours ago · Data2Vec (from Facebook) released with the paper Data2Vec: A General Framework for Self-supervised Learning in Speech, Vision and Language by Alexei Baevski, ...
22 hours ago · Weakly Supervised 3D Multi-person Pose Estimation for Large-scale Scenes based on Monocular. Camera and Single LiDAR. Thirty-Seventh AAAI Conference on ...
19 hours ago · To ensure precise 2D-3D correspondences for pose estimation, we develop an unbiased 3D scene-specific descriptor decoder for Gaussian primitives, distilled from ...
3 hours ago · Any2Graph: Deep End-To-End Supervised Graph Prediction With An Optimal Transport Loss · Toward Self-Improvement of LLMs via Imagination, Searching, and ...
16 hours ago · Monocular visual SLAM, visual odometry, and structure from motion methods ... Estimation of life history parameters of the Gangetic leaffish, Nandus ...
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