[CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
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Updated
Aug 1, 2024 - Python
Backbone.js supplies structure to JavaScript-heavy applications by providing models with key-value binding and custom events, collections with a rich API of enumerable functions, views with declarative event handling, and connects it all to your existing application over a RESTful JSON interface. Backbone.js was originally extracted from the Rails application DocumentCloud. Philosophically, Backbone is an attempt to discover the minimal set of data-structuring (models and collections) and user interface (views and URLs) primitives that are generally useful when building web applications with JavaScript. Backbone is a library, not a framework. Synchronous events are used as the fundamental building block over constantly polling data. The main pars of Backbone are:
[CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
🔥🔥🔥 专注于YOLOv5,YOLOv7、YOLOv8、YOLOv9改进模型,Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀
Official implementation of PVT series
(ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"
[ICLR 2024] Official PyTorch implementation of FasterViT: Fast Vision Transformers with Hierarchical Attention
More readable and flexible yolov5 with more backbone(gcn, resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer, etc) and (cbam,dcn and so on), and tensorrt
The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.
ConvMAE: Masked Convolution Meets Masked Autoencoders
Official PyTorch implementation of Fully Attentional Networks
[ICML 2023] Official PyTorch implementation of Global Context Vision Transformers
[CVPR2023] Official Implementation of "DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets"
[ICCV2023] Official Implementation of "UniTR: A Unified and Efficient Multi-Modal Transformer for Bird’s-Eye-View Representation"
detectron2 backbone: resnet18, efficientnet, hrnet, mobilenet v2, resnest, bifpn
The official repo for [TPAMI'23] "Vision Transformer with Quadrangle Attention"
The official repo for [ECCV'22] "VSA: Learning Varied-Size Window Attention in Vision Transformers"
Multi-backbone, Prune, Quantization, KD
[ECCV2024] Official implementation of paper, "DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs".
PyTorch implementation of Darknet53
[ECCV2024][ICCV2023] Official PyTorch implementation of SeiT++ and SeiT
Created by Jeremy Ashkenas
Released October 13, 2010