detectron2 backbonedetectron2 backbone: resnet18, efficientnet, hrnet, mobilenet v2, resnest, bifpn
Stars: ✭ 171 (+271.74%)
TensorMONKA collection of deep learning models (PyTorch implemtation)
Stars: ✭ 21 (-54.35%)
Ensemble-of-Multi-Scale-CNN-for-Dermatoscopy-ClassificationFully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (EfficientNet-B6, Inception-V3, SEResNeXt-101, SENet-154, DenseNet-169) with multi-scale input.
Stars: ✭ 25 (-45.65%)
efficientnet-jaxEfficientNet, MobileNetV3, MobileNetV2, MixNet, etc in JAX w/ Flax Linen and Objax
Stars: ✭ 114 (+147.83%)
efficientdetPyTorch Implementation of the state-of-the-art model for object detection EfficientDet [pre-trained weights provided]
Stars: ✭ 21 (-54.35%)
food-detection-yolov5🍔🍟🍗 Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation. 🍞🍖🍕
Stars: ✭ 68 (+47.83%)
awesome-computer-vision-modelsA list of popular deep learning models related to classification, segmentation and detection problems
Stars: ✭ 419 (+810.87%)
LabAssistVisionProof of concept of a mixed reality application for the Microsoft HoloLens 2 integrating object recognition using cloud computing and real-time on-device markerless object tracking. The augmented objects provide interaction using hand input, eye-gaze, and voice commands to verify the tracking result visually.
Stars: ✭ 70 (+52.17%)
MixNet-PyTorchConcise, Modular, Human-friendly PyTorch implementation of MixNet with Pre-trained Weights.
Stars: ✭ 16 (-65.22%)
image embeddingsUsing efficientnet to provide embeddings for retrieval
Stars: ✭ 107 (+132.61%)
EfficientUNetPlusPlusDecoder architecture based on the UNet++. Combining residual bottlenecks with depthwise convolutions and attention mechanisms, it outperforms the UNet++ in a coronary artery segmentation task, while being significantly more computationally efficient.
Stars: ✭ 37 (-19.57%)
Nanodet⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
Stars: ✭ 3,640 (+7813.04%)
EfficientnetImplementation of EfficientNet model. Keras and TensorFlow Keras.
Stars: ✭ 1,920 (+4073.91%)
Pytorch Image ModelsPyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
Stars: ✭ 15,232 (+33013.04%)
Yet Another Efficientdet PytorchThe pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
Stars: ✭ 4,945 (+10650%)
AutomlGoogle Brain AutoML
Stars: ✭ 4,795 (+10323.91%)
Segmentation modelsSegmentation models with pretrained backbones. Keras and TensorFlow Keras.
Stars: ✭ 3,575 (+7671.74%)
flexible-yolov5More readable and flexible yolov5 with more backbone(resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer) and (cbam,dcn and so on), and tensorrt
Stars: ✭ 282 (+513.04%)