Artificial Intelligence l l AI Updates

🔗 GitHub_Link ❇️ Self-supervised Amodal Video Object Segmentation #ObjectSegmentation Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ Assignment-Space-Based Multi-Object Tracking and Segmentation #ObjectTracking #Segmentation Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ Context-Aware Relative Object Queries to Unify Video Instance and Panoptic Segmentation #VideoSegmentation # InstanceSegmentation #PanopticSegmentation Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ Implicit Identity Leakage: The Stumbling Block to Improving Deepfake Detection Generalization Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ Expanding the Horizon for Surround-view 3D Object Detection #ObjectDetection Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ Semantic Line Combination Detection Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ Recursive Video Lane Detection #LaneDetection Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ Face Adapter for Pre-Trained Diffusion Models with Fine-Grained ID and Attribute Control Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ ⚽️ COMPUTER VISION & SPORT ⚽️ Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ TACO: (Topics in Algorithmic COde generation dataset) 💥 Larger scale: TACO includes a training set (25,443 problems) and a test set (1,000 problems), making it the largest code generation dataset currently available. 💥 Higher quality: Each problem in the TACO dataset is designed to match a diverse set of solution answers, with answer sizes of up to 1.55M. This ensures that the model is not prone to overfitting during training and validates the effectiveness of evaluation results. 💥 Fine-grained labels: Each problem in the TACO dataset includes fine-grained labels such as task topics, algorithms, skills, and difficulty levels. These labels provide more accurate references for the training and evaluation of code generation models. Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ R2E: Turning any GITHUB Repository into a Programming Agent Environment Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ Video Loopback for WebUI #webui #LoRA Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ ort is an (unofficial) ONNX Runtime 1.17 wrapper for Rust based on the now inactive onnxruntime-rs. ONNX Runtime accelerates ML inference on both CPU & GPU. Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ Anyline: A Fast, Accurate, and Detailed Line Detection Preprocessor Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ ViViD: Video Virtual Try-on using Diffusion Models #Diffusion Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ A Native-PyTorch Library for LLM Fine-tuning #LLMs #FineTuning Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ The Platonic Representation Hypothesis Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates

🔗 GitHub_Link ❇️ ChartAssisstant: A Universal Chart Multimodal Language Model via Chart-to-Table Pre-training and Multitask Instruction Tuning Join my channel: 👇👇👇👇👇👇 https://t.me/Artificial_Intelligence_Updates