Abstract: Estimating the camera’s pose given images from a single camera is a traditional task in mobile robots and autonomous vehicles. This problem is called monocular visual odometry and often ...
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Abstract: Visual Inertial Odometry (VIO) estimates predicted trajectories through self motion. With the popularization of artificial intelligence, deep learning-based VIO methods have shown better ...
CLIP is one of the most important multimodal foundational models today, aligning visual and textual signals into a shared feature space using a simple contrastive learning loss on large-scale ...
We introduce Visual Reinforcement Fine-tuning (Visual-RFT), the first comprehensive adaptation of Deepseek-R1’s RL strategy to the multimodal field. We use the Qwen2-VL-2/7B model as our base model ...
MASt3R-Fusion is a SLAM system that tightly integrates feed-forward pointmap regression with multi-sensor data (e.g., IMU, GNSS), drawing inspiration from MASt3R-SLAM. It is designed for practical, ...
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