Vocês que veem meus posts de coisa no wtzpp e querem entrar nos grupos...

Fiz uma bolha radqueer pra vcs, entrem se vcs n tem problema com piadas de stpro, lolisho, age regresion, prno hardcore e fotos de pulso aberto ;-;
chat.whatsapp.com/CN66jfWhgii5...

STPRO

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📺#StarTrekReWatchCymru 💫
🌌#StarTrekCymru

🖖🏼 STPRO
1️⃣1️⃣ #StarTrekProdigy 🟩
🖖🏽 ST:SNW
1️⃣2️⃣ #StarTrekStrangeNewWorlds 🟧

Tag 16 mit meinem Star Trek Adventskalender von BlueBrixx! [1/3]

#aufdentisch #klemmbausteine #klemmbaustrein #bluebrixx #startrek #adventskalender #startrekadventskalender #STVOY #STDS9 #STPIC #STPRO

El STPro era una de las razones más poderosas para pillar un Amiga. Algo que no pasó nunca. Peeeero en cuanto pude, este fue mi tracker de cabecera... bsky.app/profile/naik...

spatially increasing task difficulty. STPro achieves state-of-the-art results on three benchmark datasets, with improvements of 1.0% on VidSTG-Declarative and 3.0% on HCSTVG-v1. [6/6 of https://arxiv.org/abs/2502.20678v1]

Despite its promise, TRG struggles with compositional action understanding and dense scene scenarios. To address these limitations, we propose STPro, a novel progressive learning framework with two key modules: (1) [4/6 of https://arxiv.org/abs/2502.20678v1]

Aaryan Garg, Akash Kumar, Yogesh S Rawat: STPro: Spatial and Temporal Progressive Learning for Weakly Supervised Spatio-Temporal Grounding https://arxiv.org/abs/2502.20678 https://arxiv.org/pdf/2502.20678 https://arxiv.org/html/2502.20678

Aaryan Garg, Akash Kumar, Yogesh S Rawat
STPro: Spatial and Temporal Progressive Learning for Weakly Supervised Spatio-Temporal Grounding
https://arxiv.org/abs/2502.20678