2020
15 min read
End-to-End Object Detection with Transformers
Introducing DETR, a novel end-to-end object detection framework that leverages Transformers to directly predict a set of object bounding boxes.
ML Paper Reviews - Page 2
Expert analysis and in-depth reviews of machine learning research papers. Covering computer vision, deep learning, and AI innovations with practical insights.
17
Total Reviews
48
Topics
2006-2023
Years Span
Paper Reviews - Page 2
2023
15 min read
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
Computer VisionNatural Language ProcessingDeep LearningMultimodal LearningBLIP-2Vision-Language Models
Introducing BLIP-2, a new vision-language model that leverages frozen image encoders and large language models to achieve improved efficiency and performance in various multimodal tasks.
2021
15 min read
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Vision Transformer (ViT) explained: how splitting images into 16x16 patches enables pure transformer architecture for state-of-the-art image recognition.
2023
15 min read
A Survey of Techniques for Optimizing Transformer Inference
TransformersInference OptimizationPruningQuantizationKnowledge DistillationNeural Architecture SearchHardware Acceleration
Survey of transformer inference optimization: pruning, quantization, knowledge distillation, neural architecture search, and hardware acceleration.
2006
15 min read
SURF: Speeded Up Robust Features
Introducing SURF (Speeded Up Robust Features), a fast and robust algorithm for local feature detection and description, often used in applications like object recognition, image registration, and 3D reconstruction.
2021
15 min read
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: hierarchical Vision Transformer using shifted windows for efficient image classification, object detection, and segmentation.
Showing 7-12 of 17 articles