aim training

Aim training ahh ace

I love me some aim training 📷lodgeAlloy275 | #Destiny2

One week of aim training and here are the... results 👀show more

"Aim training is useless because it's not like in-game... movement" Ok then explain thisshow more

If you spam deathmatch or aim training, your hands... have probably felt sore before Try these 👇🏻show more

This is the whole story... Did I deserve that... chat?! Someone needs to give Helm Dani (in jail) @ Holiday Matsuri some aim training..show more

1 hour of BullX quickbuy aim training on streched... res DAILY 2025 is all about doing what nobody is ready to do 🔫show more

Even after 6 years of training, leon’s aim in... RE4R still gradually rises while firing, unlike in requiem, where his aim stays completely steady and locked on the same spot. that small detail really shows how much more experienced and professional he has becomeshow more

Who else grew up thinking this was peak bathroom... technology? 😭 Outdoor toilet + perfect aim training stick = childhood memories unlocked. #VillageLife #90sKids #DesiChildhood #Nostalgia #RuralIndia #OldSchoolshow more

Breaking: Kalpana stays in training next year with the... aim to make it a hat-trick in the British Champions Fillies & Mares Stakes at Ascot Racecourse! Juddmonte Andrew Baldingshow more

Athleticism is the body’s ability to problem solve. The... aim of training is the solve new problems, not repeat solutions. When the body has all the answers it’s times to change the questions!show more

🚨 Warzone Resurgence 💀Just absolutely shit on Top 250... player craftyc2x They said grind more. I said 50+ hours of Aimlabs = LASER BEAMS 🎯⚡ No excuses. No hand holding. Just raw aim, clean tracking, and sending Top 250s back to the lobby 😮‍💨 Aim training works. Who’s next? 👀 #Warzone #Resurgence #CallOfDuty #Aimlabs #Top250 #WarzoneClips #GamingCommunity #FPS #CODCompetitive #WarzoneRankedshow more

No, GD is not close to an elite Esport... even in mechanics either. Even when putting all the other shit like gamesense and teamplay aside, 20000h of aim training results in absurdities like literally flicking and shooting at pin point accuracy so fast your eyes can barely see itshow more

⚽️👇 Activity Description Below 🗣️ This is a ‘Back... 3 Build Up Pattern’ from Drill Library. This passing activation allows players to work on developing build-up patterns and relationships while playing in a back 3 shape. The build-up is heavily focused on a 3-2 build-up shape with central combinations. The aim is to create a fluid transition from the back, ensuring the ball is circulated efficiently before being played into the attacking areas. ✅ Click below to view 700+ specialised & adaptable training activities ↙️ 💻show more

Today, we clocked 7 weeks into the intensive programming... training I earlier talked about. The 12 of them made a deposit of N2M each as a security. It’s a 9 months program and once they are done they get back their funds with a bonus of N500k and a guaranteed job. I could feel the very impressive progress and energy. The lady in yellow wanted to run away after the first week but a little word of encouragement changed everything. She now leads group A on an Ajo App project with C. My aim is to train top quality engineers with deep understanding of first principles and core programming concepts. This started as an experiment but the outcome it’s beyond my imaginations.show more

⚽️👇 Activity Description Below This is a Breaking Lines... practice from Drill Library. In this drill, players work on breaking defensive lines through quick ball movement and intelligent positioning. The aim is to find and pass to two teammates who are positioned beyond the opposition’s defensive line, replicating scenarios that occur in real match situations. The setup includes 3 players in possession versus 3 defenders in a locked central grid. The 3 attackers must circulate the ball quickly, using clever movement and combination play to disrupt the defensive structure. The team shape resembles a 2-3-3-2, with 3 defenders trying to block access while 2 target players wait beyond the line to receive a penetrating pass. ✅ Click below to view 700+ specialised & adaptable training activities ↙️ 💻show more

🤝CM Devendra Fadnavis presided over the signing and exchange... of a MoU between the Film and Television Institute of India (FTII), Pune and the Maharashtra Film, Stage & Cultural Development Corporation Limited (MFSCDC), Mumbai. The aim of this collaboration is to empower youth with quality training in film, media, and entertainment and opening doors to new professional opportunities and creative careers. Minister Adv Ashish Shelar, FTII President and actor R. Madhavan and other dignitaries were present. 🤝 मुख्यमंत्री देवेंद्र फडणवीस यांच्या प्रमुख उपस्थितीत 'फिल्म अँड टेलिव्हिजन इन्स्टिट्यूट ऑफ इंडिया' (FTII), पुणे आणि 'महाराष्ट्र चित्रपट, रंगभूमी आणि सांस्कृतिक विकास महामंडळ' (MFSCDC), मुंबई यांच्यात सामंजस्य करार करण्यात आला. चित्रपट, माध्यम व मनोरंजन क्षेत्रामध्ये कार्य करण्यासाठी इच्छुक तरुण-तरुणींना गुणवत्तापूर्ण प्रशिक्षण देऊन त्यांना व्यावसायिक संधी उपलब्ध करून देणे हा या कराराचा मुख्य उद्देश आहे. यावेळी मंत्री ॲड. आशिष शेलार, FTII चे अध्यक्ष आणि अभिनेते आर. माधवन आणि इतर मान्यवर उपस्थित होते. Devendra Fadnavis Adv. Ashish Shelar - ॲड. आशिष शेलार Ranganathan Madhavan FTII Film City Mumbai #Maharashtra #DevendraFadnavis #Mumbaishow more

Break-A-Scene: Extracting Multiple Concepts from a Single Image introduce... the task of textual scene decomposition: given a single image of a scene that may contain several concepts, we aim to extract a distinct text token for each concept, enabling fine-grained control over the generated scenes. To this end, we propose augmenting the input image with masks that indicate the presence of target concepts. These masks can be provided by the user or generated automatically by a pre-trained segmentation model. We then present a novel two-phase customization process that optimizes a set of dedicated textual embeddings (handles), as well as the model weights, striking a delicate balance between accurately capturing the concepts and avoiding overfitting. We employ a masked diffusion loss to enable handles to generate their assigned concepts, complemented by a novel loss on cross-attention maps to prevent entanglement. We also introduce union-sampling, a training strategy aimed to improve the ability of combining multiple concepts in generated images. We use several automatic metrics to quantitatively compare our method against several baselines, and further affirm the results using a user study. Finally, we showcase several applications of our method paper page:show more