How Transformers Are Shaping the Future of Object Detection
The world of computer vision changed forever 2011 onwards, when convolutional neural networks (CNNs) revolutionized object detection by providing a significant leap in accuracy and efficiency compared to earlier methods like the Viola-Jones framework, which primarily relied on handcrafted features and boosted classifiers. CNN-based models like Faster R-CNN, YOLO, and CenterNet brought about groundbreaking […]
Continue ReadingTechnical overview of Image Synthesis : Stable Diffusion
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 […]
Continue ReadingMOTR: End-to-End Multi-Object Tracking with Transformers
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 […]
Continue ReadingGhostNetV2: Enhance Cheap Operation with Long-Range Attention
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 […]
Continue ReadingUnderstanding CLIP by OpenAI
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. […]
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