Tootfinder

💗 The Point of Politics Is to Convince People, Not Grandstand
#politics

The Point of Politics Is to Convince People, Not Grandstand
Instead of trying to persuade the hundreds of millions of Americans to our right, sometimes we leftists seem to be competing to prove our radical bona fides to each other. That’s not politics — it’s just wasting precious time.

Hybrid-grained Feature Aggregation with Coarse-to-fine Language Guidance for Self-supervised Monocular Depth Estimation
Wenyao Zhang, Hongsi Liu, Bohan Li, Jiawei He, Zekun Qi, Yunnan Wang, Shengyang Zhao, Xinqiang Yu, Wenjun Zeng, Xin Jin
https://arxiv.org/abs/2510.09320

Hybrid-grained Feature Aggregation with Coarse-to-fine Language Guidance for Self-supervised Monocular Depth Estimation
Current self-supervised monocular depth estimation (MDE) approaches encounter performance limitations due to insufficient semantic-spatial knowledge extraction. To address this challenge, we propose Hybrid-depth, a novel framework that systematically integrates foundation models (e.g., CLIP and DINO) to extract visual priors and acquire sufficient contextual information for MDE. Our approach introduces a coarse-to-fine progressive learning framework: 1) Firstly, we aggregate multi-grained featu…

I'm not sure if this is going to make a difference ( #LLMs weren't able to read #licenses or terms & conditions before when these were not formalized in a "machine-readable" way (plus, besides licenses we already had the robots.txt declarative files; even if those were not as expressive as this new proposal).
So, is this extra work for web developers and maintainers? Are we going to operate under the new assumption that if we didn't do the work of implementing this then we are granting permission to scrapper bots to steal all our online creations?
Or can this be a net gain for creators in some specific way?

Localizing the Ising CFT from the ground state of the Ising model on the fuzzy sphere
Kay Joerg Wiese
https://arxiv.org/abs/2510.09482 https://arxiv.org/pd…

Localizing the Ising CFT from the ground state of the Ising model on the fuzzy sphere
We locate the phase-transition line for the Ising model on the fuzzy sphere from a finite-size scaling analysis of its ground-state energy. This is similar to what was used to locate the complex CFT of the 5-state Potts model in dimension $d=2$ [PRL 133 (2024) 077101]. There it was shown that a CFT is characterized by a stationarity condition for the measured effective central charge. Our strategy is to write the ground-state energy as $E_{\rm GS}(N)/N_m = E_{0} + E_1 /N_m + E_{3/2}/N_m^{3/2}+ …

Online IMU-odometer Calibration using GNSS Measurements for Autonomous Ground Vehicle Localization
Baoshan Song, Xiao Xia, Penggao Yan, Yihan Zhong, Weisong Wen, Li-Ta Hsu
https://arxiv.org/abs/2510.08880

Online IMU-odometer Calibration using GNSS Measurements for Autonomous Ground Vehicle Localization
Accurate calibration of intrinsic (odometer scaling factors) and extrinsic parameters (IMU-odometer translation and rotation) is essential for autonomous ground vehicle localization. Existing GNSS-aided approaches often rely on positioning results or raw measurements without ambiguity resolution, and their observability properties remain underexplored. This paper proposes a tightly coupled online calibration method that fuses IMU, odometer, and raw GNSS measurements (pseudo-range, carrier-phase…

sunday, 10/19, the sloppy heads return to our beloved mama tried backyard for an afternoon benefit for #brooklyn new school, with james mcnew, jon glaser (!), & more. #nyc

OmniEVA: Embodied Versatile Planner via Task-Adaptive 3D-Grounded and Embodiment-aware Reasoning
Yuecheng Liu, Dafeng Chi, Shiguang Wu, Zhanguang Zhang, Yuzheng Zhuang, Bowen Yang, He Zhu, Lingfeng Zhang, Pengwei Xie, David Gamaliel Arcos Bravo, Yingxue Zhang, Jianye Hao, Xingyue Quan
https://arxiv.org/abs/2509.09332

OmniEVA: Embodied Versatile Planner via Task-Adaptive 3D-Grounded and Embodiment-aware Reasoning
Recent advances in multimodal large language models (MLLMs) have opened new opportunities for embodied intelligence, enabling multimodal understanding, reasoning, and interaction, as well as continuous spatial decision-making. Nevertheless, current MLLM-based embodied systems face two critical limitations. First, Geometric Adaptability Gap: models trained solely on 2D inputs or with hard-coded 3D geometry injection suffer from either insufficient spatial information or restricted 2D generalizat…