Tootfinder

Partial Weakly-Supervised Oriented Object Detection
Mingxin Liu, Peiyuan Zhang, Yuan Liu, Wei Zhang, Yue Zhou, Ning Liao, Ziyang Gong, Junwei Luo, Zhirui Wang, Yi Yu, Xue Yang
https://arxiv.org/abs/2507.02751

Partial Weakly-Supervised Oriented Object Detection
The growing demand for oriented object detection (OOD) across various domains has driven significant research in this area. However, the high cost of dataset annotation remains a major concern. Current mainstream OOD algorithms can be mainly categorized into three types: (1) fully supervised methods using complete oriented bounding box (OBB) annotations, (2) semi-supervised methods using partial OBB annotations, and (3) weakly supervised methods using weak annotations such as horizontal boxes o…

Time For 9 o'clock #HashTagGames hosted by @…
Let's play!
#SupervillainABookOrPlay

#supervillainabookorplay
#HashtagGames
"Much Ado About Ultron"
Witty banter, mistaken identities, and one AI bent on human extinction.
Shakespeare would love it.

Towards Bio-Inspired Robotic Trajectory Planning via Self-Supervised RNN
Miroslav Cibula, Krist\'ina Malinovsk\'a, Matthias Kerzel
https://arxiv.org/abs/2507.02171

Towards Bio-Inspired Robotic Trajectory Planning via Self-Supervised RNN
Trajectory planning in robotics is understood as generating a sequence of joint configurations that will lead a robotic agent, or its manipulator, from an initial state to the desired final state, thus completing a manipulation task while considering constraints like robot kinematics and the environment. Typically, this is achieved via sampling-based planners, which are computationally intensive. Recent advances demonstrate that trajectory planning can also be performed by supervised sequence l…

Venusval - Mainzer Beobachter
https://mainzerbeobachter.com/2025/06/04/venusval/
> "Venusval" van Ruurd Halbertsma combineert een thriller die zich afspeelt in onze tijd met sfeerbeelden van de vroege negentiende eeuw.

Venusval - Mainzer Beobachter
"Venusval" van Ruurd Halbertsma combineert een thriller die zich afspeelt in onze tijd met sfeerbeelden van de vroege negentiende eeuw.

This https://arxiv.org/abs/2505.24200 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSD_…

Improving Multilingual Speech Models on ML-SUPERB 2.0: Fine-tuning with Data Augmentation and LID-Aware CTC
Multilingual speech processing with self-supervised or supervised pre-trained Speech Foundation Models (SFM) has achieved strong performance on tasks like Language Identification (LID) and Automatic Speech Recognition (ASR). However, these models struggle with limited resources during fine-tuning. This paper enhances multilingual LID and ASR on ML-SUPERB 2.0 by exploring multiple strategies for adapting SFMs, including frozen upstream training, partial fine-tuning, and low-rank adaptation. Furt…

We are witnessing the suicide of a superpower
No doubt Trump thinks that tanks and soldiers on display will make America, and its president, look tough and strong.

But the planned spectacle in June 14 is laughably hollow.
Even as the president wants to showcase U.S. military power,
he is doing grave and possibly irreparable damage to the real sources of U.S. strength,
including its long-term investment in scientific research.
Trump is declaring war on sc…

We are witnessing the suicide of a superpower
The president’s assault on science dangerously undermines America’s superpower status.

🇺🇦 #NowPlaying on KEXP's #Early
Curtis Mayfield:
🎵 Superfly (Superfly)
#CurtisMayfield
https://djskitjointz1.bandcamp.com/track/superfly-skitz-og-mix-ft-curtis-mayfield
https://open.spotify.com/track/4XsH9zBWPOCdXoH9ZDdS8r

Video | Sfeerverslag vanuit zomers Groningen: een stad om heel verliefd op te worden - Sikkom
https://sikkom.nl/nieuws/Video-Hot-town-summer-in-the-city-sfeerverslag-vanuit-zomers-Groningen-46479675.html

Self-Supervised Spatial Correspondence Across Modalities
Ayush Shrivastava, Andrew Owens
https://arxiv.org/abs/2506.03148 https://arx…

Self-Supervised Spatial Correspondence Across Modalities
We present a method for finding cross-modal space-time correspondences. Given two images from different visual modalities, such as an RGB image and a depth map, our model identifies which pairs of pixels correspond to the same physical points in the scene. To solve this problem, we extend the contrastive random walk framework to simultaneously learn cycle-consistent feature representations for both cross-modal and intra-modal matching. The resulting model is simple and has no explicit photo-con…