In the era of Vision Transformers and increasingly complex multimodal architectures, convolutional neural networks (ConvNets) have often been written off…
Image Classification
VMamba: A Linear-Time Vision Backbone for High-Resolution, Scalable Computer Vision Tasks 2969
In the rapidly evolving landscape of computer vision, model efficiency and scalability are no longer optional—they’re essential. Enter VMamba, a…
MambaVision: Achieve SOTA Image Classification & Downstream Vision Tasks with Hybrid Mamba-Transformer Efficiency 1946
If you’re building computer vision systems that demand both high accuracy and real-world efficiency—without getting bogged down in architectural complexity—MambaVision…
AutoTrain: No-Code, Multi-Modal Model Training for Technical Decision-Makers 4541
In today’s fast-moving AI landscape, fine-tuning state-of-the-art models on custom data is no longer a luxury—it’s a necessity for building…
MambaOut: High-Accuracy Vision Models Without the Mamba Overhead 2609
The vision community has recently seen a surge in adopting sequence modeling architectures—especially Mamba—for image tasks. Inspired by its linear…
FlexiViT: One Vision Transformer for All Patch Sizes—Deploy Faster or More Accurate Models Without Retraining 3276
Vision Transformers (ViTs) have become a cornerstone of modern computer vision, offering strong performance across a wide range of tasks.…
FastViT: Achieve State-of-the-Art Speed and Accuracy for Vision Tasks on Mobile and Edge Devices 1974
FastViT is a high-performance hybrid vision transformer designed to deliver exceptional speed and accuracy—especially on resource-constrained platforms like mobile phones…
GhostNet: High-Accuracy Vision Models with Minimal Compute for Edge Deployment 4355
Overview Deploying powerful computer vision models on resource-constrained devices—such as smartphones, IoT sensors, or drones—has long been a major engineering…
RepViT: Real-Time Mobile Vision with Pure CNN Speed and ViT-Level Accuracy 1009
In the world of on-device computer vision, the tension between speed and accuracy has long defined what’s possible. Engineers building…