اکنون در دسترس! پژوهش تلگرام ۲۰۲۵ — مهمترین بینشهای سال 
AI with Papers - Artificial Intelligence & Deep Learning
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All the AI with papers. Every day fresh updates about #DeepLearning #MachineLearning #LLM & #ComputerVision Curated by Alessandro Ferrari | https://www.linkedin.com/in/visionarynet/ #AI #chatGPT
نمایش بیشتر📈 تحلیل کانال تلگرام AI with Papers - Artificial Intelligence & Deep Learning
کانال AI with Papers - Artificial Intelligence & Deep Learning (@ai_deeplearning) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 17 173 مشترک است و جایگاه 7 725 را در دسته فناوری و برنامهها و رتبه 2 238 را در منطقه ماليزيا دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 17 173 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 19 ژوئن, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر -177 و در ۲۴ ساعت گذشته برابر -9 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 21.83% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً N/A% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 3 749 بازدید دریافت میکند. در اولین روز معمولاً 0 بازدید جمعآوری میشود.
- واکنشها و تعامل: مخاطبان بهطور فعال حمایت میکنند؛ میانگین واکنش به هر پست 26 است.
- علایق موضوعی: محتوا بر موضوعات کلیدی مانند framework, object, dataset, tba, depth تمرکز دارد.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاههای شخصی توصیف میکند:
“All the AI with papers. Every day fresh updates about #DeepLearning #MachineLearning #LLM & #ComputerVision
Curated by Alessandro Ferrari | https://www.linkedin.com/in/visionarynet/
#AI #chatGPT”
به لطف بهروزرسانیهای پرتکرار (آخرین داده در تاریخ 20 ژوئن, 2026)، کانال همواره بهروز و دارای دسترسی بالاست. تحلیلها نشان میدهد مخاطبان بهطور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته فناوری و برنامهها تبدیل کردهاند.
17 173
مشترکین
-924 ساعت
-397 روز
-17730 روز
آرشیو پست ها
🍌 AGENT BANANA (SOTA) 🍌
👉Agent Banana is the novel SOTA agentic system for HD, native-resolution image editing through reasoning-based NL interaction, where each edit is context-aware, logically dependent, and locally precise. Code announced💙
👉Review https://t.ly/EXaCH
👉Paper https://arxiv.org/pdf/2602.09084
👉Project https://agent-banana.github.io/
👉Repo https://github.com/taco-group/agent-banana
🍟 AnyTouch 2 is out 🍟
👉AnyTouch 2 is a general tactile representation learning framework for diverse optical tactile sensors that unifies object-level understanding with fine-grained, force-aware dynamic perception. Repo, Model & Data💙
👉Review https://t.ly/fP4dP
👉Paper https://arxiv.org/pdf/2602.09617
👉Project gewu-lab.github.io/AnyTouch2/
👉Repo github.com/GeWu-Lab/AnyTouch2
😶🌫️ SOTA Full-Head Synthesis 😶🌫️
👉HyPlaneHead, the new SOTA in full-head image synthesis, delivering HQ results with significantly fewer artifacts compared to existing 3D-aware models. Repo announced💙
👉Review https://t.ly/WYfP3
👉Paper https://arxiv.org/pdf/2509.16748
👉Project https://lhyfst.github.io/hyplanehead/
👉Repo https://github.com/lhyfst/HyPlaneHead
🪙MOMENTUM #NeurIPS 2025 🪙
👉MOMENTUM by Google (H/T Huguens Jean, Ph.D.) is a production multimodal agent architecture built on the Google ADK. It orchestrates 22 specialized tools (Gemini for reasoning, Imagen 4.0 for image generation, and Veo 3.1 for synthesis). Code announced💙
👉Review https://t.ly/06h7Q
👉Paper https://momentum-project-page-232993426383.us-central1.run.app/momentum_paper.pdf
👉Project https://momentum-project-page-232993426383.us-central1.run.app/
👉Repo TBA
🌈TrajVG Trajectory-Geometry🌈
👉TrajVG is a novel reconstruction framework that makes cross-frame 3D correspondence an explicit prediction by estimating camera-coordinate 3D trajectories. Code announced💙
👉Review https://t.ly/yVi01
👉Paper https://arxiv.org/pdf/2602.04439
👉Project https://xingy038.github.io/TrajVG/
👉Repo https://github.com/xingy038/TrajVG
🐮CoWTracker: Track-Warping🐮
👉CoWTracker (VGG + META) is a novel dense point tracker that eschews cost volumes in favor of warping. Code/Models under FAIR NC💙
👉Review https://t.ly/6bAn9
👉Paper https://arxiv.org/pdf/2602.04877
👉Project https://cowtracker.github.io/
👉Repo https://github.com/facebookresearch/cowtracker
👉RAM prices skyrocketing
👉Me acting like a rich kid.
More: https://www.linkedin.com/posts/visionarynet_ai-ram-ddr5-activity-7424127924020072448-NbaO
🌈Segment Any Events by Language🌈
👉SEAL (by NUS) is the first Semantic-aware Segment Any Events framework that addresses Open-Vocabulary Event Instance Segmentation. Code announced💙
👉Review https://t.ly/1ZMF0
👉Paper https://arxiv.org/pdf/2601.23159
👉Project https://0nandon.github.io/SEAL/
👉Repo https://github.com/0nandon/SEAL
The hottest website on Earth right now: https://www.moltbook.com
What do you think about it?
Still in love with this channel?
🍑 Metric Anything is out 🍑
👉Metric Anything (Li Auto inc.) is a simple and scalable pretraining framework that learns metric depth from noisy, diverse 3D sources without manually engineered prompts, camera-specific modeling, or task-specific architectures. Impressive. Code announced 💙
👉Review https://t.ly/54Ccr
👉Paper arxiv.org/pdf/2601.22054
👉Project metric-anything.github.io/metric-anything-io/
👉Repo github.com/metric-anything/metric-anything
🍑 Metric Anything is out 🍑
👉Metric Anything (Li Auto inc.) is a simple and scalable pretraining framework that learns metric depth from noisy, diverse 3D sources without manually engineered prompts, camera-specific modeling, or task-specific architectures. Impressive work. Code announced 💙
👉Review https://t.ly/54Ccr
👉Paper arxiv.org/pdf/2601.22054
👉Project metric-anything.github.io/metric-anything-io/
👉Repo github.com/metric-anything/metric-anything
📊 SOTA Style Transfer 📊
👉TeleAI unveils TeleStyle, a lightweight yet effective model for image/video stylization. Built upon Qwen-Image-Edit, TeleStyle leverages the base model’s robust capabilities in content preservation & style customization. Code & Model released💙
👉Review https://t.ly/viVR0
👉Paper arxiv.org/pdf/2601.20175
👉Project tele-ai.github.io/TeleStyle/
👉Repo github.com/Tele-AI/TeleStyle
🔥 DeepSeek-OCR 2 is out 🔥
👉DeepSeek-AI announced the new version of its powerful SOTA OCR. A new architectural approach with the potential to achieve genuine 2D reasoning. Codes & weights💙
👉Review https://t.ly/gX4bX
👉Paper https://arxiv.org/pdf/2601.20552
👉Repo github.com/deepseek-ai/DeepSeek-OCR-2
🌻MLLMs Fine Segmentation🌻
👉SimpleSeg: MLLMs with native pixel-level perception. Repo & Model available💙
👉Review https://t.ly/eVguh
👉Paper arxiv.org/pdf/2601.19228
👉Project simpleseg.github.io/
👉Repo github.com/songtianhui/SimpleSeg
🔥🔥Super-Hard Poll folks🔥🔥
👉 This dilemma is driving me crazy
Vote: https://www.linkedin.com/posts/visionarynet_activity-7421974594917588992-YNAG
🦠Generalized-Scale Counting🦠
👉GeCo2 (Ljubljana) is a novel e2e SOTA few-shot method that explicitly addresses the object scale issues. Repo & Demo 💙
👉Review https://t.ly/2_7I8
👉Paper https://arxiv.org/pdf/2511.08048
👉Repo https://github.com/jerpelhan/GECO2
👉Demo huggingface.co/spaces/jerpelhan/GECO2-demo
🔥 BBoxMaskPose v2 is fire 🔥
👉BBoxMaskPose v2 by ČVUT offers SOTA performance in detection, segmentation & 2D pose in crowded scenes. It enables 3D human reconstruction even in scenes with complex interactions. Code, Models & data available💙
👉Review https://t.ly/GkkDl
👉Paper arxiv.org/pdf/2601.15200
👉Project https://lnkd.in/dQ_3hxjC
👉Repo https://lnkd.in/dVqwD3jN
