Technical overview of Image Synthesis : Stable Diffusion
CV-Tricks.com
by Ankit Sachan
1y ago
Tex  to Image models like DALL-E, Imagen, and Stable Diffusion have attracted a lot of attention to Image Synthesis models, recently. These models can generate impressive looking images from benign looking prompts. Here are a few typical examples of images from Stable Diffusion:                 Looking under the hood ..read more
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MOTR: End-to-End Multi-Object Tracking with Transformers
CV-Tricks.com
by Ankit Sachan
1y ago
MOTR is a state of the art end-to-end multiple object tracker that does not require any temporal association between objects of adjacent frames. It directly outputs the track of objects in a sequence of input images (video). MOTR uses Deformable DETR for object detection on a single image. To understand the architecture of MOTR it ..read more
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GhostNetV2: Enhance Cheap Operation with Long-Range Attention
CV-Tricks.com
by Ankit Sachan
1y ago
GhostNetV2 is a recent SOTA architecture that allows an implementation of Long-Range attention in the deep CNN frameworks used in various ML tasks such as image classification, object detection, and video analysis. GhostNetV2 proposes a new attention mechanism called DFC attention to capture long range spatial information. And it does so while keeping the implementation ..read more
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Understanding CLIP by OpenAI
CV-Tricks.com
by Ankit Sachan
1y ago
CLIP By OPEN-AI Introduction Nearly all state-of-the-art visual perception algorithms rely on the same formula:  (1) pretrain a convolutional network on a large, manually annotated image classification dataset (2) finetune the network on a smaller, task-specific dataset. This technique has been widely used for several years and has led to impressive improvements on numerous tasks.  ..read more
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Using Active Learning to Improve your Machine Learning Models
CV-Tricks.com
by Ankit Sachan
1y ago
Machine Learning Reality Check In the Machine Learning World or broadly in the AI Universe, the colonists such as Data Scientists, Machine Learning Engineers, Deep Learning Specialist are coached towards a belief i.e. “More Training Data Means Highly Accurate Production Model“. Which to some extent is unavoidably true but predominately it’s also a fact, that ..read more
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Understanding and improving Image to Image Translation Pix2PixHD
CV-Tricks.com
by Ankit Sachan
2y ago
Introduction Photo-realistic image rendering using standard graphics techniques requires realistic simulation of geometry and light. The algorithms which we use currently for the task are effective but expensive. If we were able to render photo-realistic images using a model learned from data, we could turn the process of graphics rendering into a model learning and ..read more
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Understanding StyleGAN for Image Generation using Deep Learning
CV-Tricks.com
by Ankit Sachan
2y ago
Introduction Images produced by generative methods have been improving lately. Most of the recent generative algorithms have made use of generative networks that are trained using a discriminator network as their adversary. Generative Adversarial Networks (GANs) or generators, in other words, are a relatively new concept in the field of computer vision. Their aim is ..read more
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State-Of-The-Art Text to Image Generation using DALL-E
CV-Tricks.com
by Ankit Sachan
2y ago
DALL-E – Creating images from text Code – openai/DALL-E: PyTorch package for the discrete VAE used for DALL·E. Paper – https://arxiv.org/pdf/2102.12092.pdf   What is DALL-E? On 5th January 21, OpenAI unveiled their novel text to image generation model, DALL-E. This model is capable of generating various types of images from textual descriptions. A humongous 12 ..read more
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Training Image Classification 8x Faster With NFNet
CV-Tricks.com
by Ankit Sachan
2y ago
Introduction: Anyone who has deployed a neural network on production knows that deploying a network is easy but making sure that it stays updated as new user data flows is a harder task. It involves keep training the network with new incoming data frequently and in such a case being able to train faster is ..read more
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Training Object Detectors using TensorFlow Object Detection API
CV-Tricks.com
by Ankit Sachan
2y ago
Machine learning algorithms are everywhere around you. The recommendations you receive on youtube, estimation of commute time, face detection in google photos, and many more, all of these features that make our lives easier would not have been possible without advances in machine learning algorithms. Machine learning can be further classified into various fields; many ..read more
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